Iranian economy Essay Example | Topics and Well Written Essays - 2250 words

Iranian economy - Essay Example The performance of the Iranian economy in the early twenty-first century has witnessed a marked deterioration, in absolute terms as well as relative to other countries in the region. The growth of the economy has slackened drastically (Ramin, 2004). The economy, with a rapidly expanding population, has experienced a marked decline in investment, low labor productivity, a widening trade gap, a fast accumulation of debt and, above all, a sharp decline in the standard of living. What are the determinants of economic performance? There is broad agreement among economists that macroeconomics stability – characterized by moderate and predictable inflation, a small budget deficit, and the relative stability of the real exchange rate – is essential for long-term economic growth (Sciolino, 2005). Several empirical studies suggests that stable prices, a sensible exchange rate that does not discourage exports and good fiscal and monetary disciplines are necessary, though not suffi cient, conditions for a sustainable improvement in living standards. Viewed from this perspective the deterioration of in the performance of the Iranian economy since 1980 can be largely explained by the macroeconomic stability that has characterized this post revolutionary period (Sciolino, 2005).The theme of this proposal is centered on the role of the state in the process of economic and social development in the post revolutionary period. The emphasis, however, is on economic performance.... there is general consensus amongst close observers of the Iranian economy about the 'decisive' historical role of the state. Furthermore, a distinctive feature of the current Iranian state is that sizeable oil revenue accrues to the government because of its monopoly right over oil. The rentier nature of the state provides it with economic power and financial independence, although the state plays a central role in distributing this wealth to the population through direct subsidies and the creation of economic activities. 2. Iran's Economy in a Comparative Context There has been a remarkable deterioration in the growth performance of the Iranian economy since the late 1980s, both relative to its past performance and compared to international standards. This is reflected in the below table, which shows comparative per capita GDP trends for Iran and United States. Though the comparison does show a major difference, it is to be noted that here we have compared a lower middle income economy to a higher economy. Table: Comparative Figures of Iran and US Economy for the years 2003 - 2005 Source: World Bank Data Banks. 3. Economic Policy and Industrial Structure The rapid growth of the Iranian economy during the two decades preceding the 1979 Revolution took place in the context of an import substitution industrialization strategy. The paradoxical result of this strategy was to make the economy increasingly dependent on oil export revenues in order to finance the intermediate and capital goods imports needed by Iran's heavily protected industrial sector (Halliday, 1979). In the immediate aftermath of the revolution a considerable portion of large-scale modern industry, and the entire banking and insurance

Comparison of the novel by Robert Penn Warren and the film Adaptation Essay - 1

Comparison of the novel by Robert Penn Warren and the film Adaptation - Essay Example The book displays Jack’s character in a more complex manner as compared to the film. Jack’s character takes a complex form in the book (Warren 45). His pessimist nature towards life is evident in the book with a clear obsession with Anne Stanton. In the film, Jack’s feelings are partially captured. The novel displays the philosophical discussion of Jack but â€Å"The Great Twitch† is not shown in the film. The 1930s era is characterized by racism (Warren 56). To keep up with the era, Jack displays racist aspects by standards of a different era. The film does not capture this aspect. Jack is a doctor and performs doctoral research. Which is more effective and powerful, the visit with judge Irwin and the conflicts presented between Willie, Jack and the Judge in the film version, or the novel? (pages 63-73) explain your answer, providing specific examples from both the film and the novel.   The film version is more strong as it displays a critical review of the scenario. The discussion of his doctoral research is presented in the novel but does not appear in the film. Jack studies Cass Mastern in his research who in a descent from the Antebellum South. Mastern fought in the Civil War. The book gives a detailed passage on Mastern and his influence on people’s life. This creates controversy as being the center of discussion in of the moral theme in the novel. Jacks stop his research on Mastern as he refuses to accept the study ratings of how people’s actions have impact on the destiny of others (Warren 98). The reaction of Jack in the book is more prevailing that that in the film. Jack is more enraged in the book on learning that Willie has Anne as his mistress. The book does not carry the storyline of Tom Stark as displayed in the film. The film does display Tom Stark but for short periods only. The book and the film display the scandal caused by Tom after he impregnated a girl. The father of the girl faces

Marketing 3000 Assignment Example | Topics and Well Written Essays - 500 words

Marketing 3000 - Assignment Example The company tried to capture new customers but forgot that their products were bought by their traditional customers. Once the Starbucks old buyers lost their feel, faith and the attachment with the company, their paths diverted. Starbucks now was no more a place to visit where customers could have a healthy talk. It became a place from where people could purchase items and move on. So, the Starbucks experience changed and with that changed the Starbuck customer. 3. A kid would get bored by playing with the same toy over and over again. Same phenomenon applies to the customers and the products they buy. People want something new and unique. This was an uphill task the company had to face in order to re attract their old customers and regain their present buyers. For this purpose, they gave a new look to their company, not by expanding the number of stores, rather by expanding, introducing and diversifying their products. They cheapened the prices of the coffee and worked to improve the quality of their items so that they could again reach the hearts of their customers. They realized that by not changing much of their terms and conditions, they could do a lot for the betterment of their consumers as well as for the company itself. 4. This is a question that can certainly take Starbucks to the peak since its emergence or can bring it to a halt for the years to come. The company has just faced a downfall and is again trying to get on their feet. If the owners and the responsible people take necessary steps to bind the company together, only then can it come out of the sorrows of defeat else the worst could be a complete shut down for the Starbucks company. Starbucks will not be able to enjoy the same comfort level and revenue from their costumers. It’s simply because their quality has gone down, irrespective of the steps they are taking now, and because of the competition in the market. Their competitors are also here to

Job Description and Appraisal Essay Example | Topics and Well Written Essays - 1250 words

Job Description and Appraisal - Essay Example My Job Description I have my job in Pediatric Emergency Department. I received a job description when I joined the department. According to the job description, the important duties involved performing physical examinations and giving medicines prescribed by the doctor, encouraging and comforting the little children to conduct necessary tests and treatments procedures smoothly, starting intravenous medications, collecting samples for laboratory tests, and educating the parents about how to take care of their children. Most of the tasks I do in my department are included in the job description in receiving on joining. However, there are certain other tasks which we undertake when necessary. For example, when there is no unit clerk or secretary, it becomes necessary for me to do secretarial and clerical tasks like entering orders in the computer, faxing, and paging. Another important task is the cleaning of the room. There are times when the cleaning service becomes unavailable for imm ediate cleaning of the room. In such emergencies, it becomes necessary to clean the room for immediate use. Yet another task that deserves to be mentioned is the stocking of supplies. In fact, stocking of essential supplies is very vital in an emergency department. Proper stocking helps nurses save a considerable amount of time. When equipment and supplies are not easily available, there will be an imbalance in the delivery of care. Though it is the duty of stocking technician to take care of stock levels, there are times when the nurses are made to go directly and get the supplies. This results in considerable loss of time. Employment Promotion In fact, the promotion process is rather complicated in my department. Selecting employees for promotion involves a lot of factors ranging from performance, politics, and interest. When there is a vacancy, some employees refuse to apply for the same despite their qualification because they hate to take up management positions which involve r esponsibility. On the other hand, some less qualified employees manage to get a promotion through influence. Admittedly, the first reason why the employees are not seriously concerned about promotion is that there is a nurses’ union which ensures that the nurses are protected from unreasonable termination. One can see that these things go against the ‘best practice guidelines’. It is pointed out in the Nursing Best Practice Guidelines (n. d.) that organizations/nursing employers should establish such organizational practices that foster mutual responsibility and accountability by individual nurses and organizational leaders to ensure a safe work environment. First of all, one can see that the organization has failed to make a close and cohesive relationship with the employees. As a result, the qualified do not feel the responsibility or accountability to take up management positions. Moreover, through politics, the management often gives promotion to less qualifi ed ones. This seriously affects the quality of the care offered. It is clearly mentioned in Best Practice Guidelines 3.2 that it is the responsibility of organizations/nursing employers to employ qualified individuals with knowledge and expertise in leading roles and for training and education programs. Pay for Performance Compensation Program In fact, there is no pay for performance program. Instead, the hospital has a standardized salary

Week one questions Essay Example | Topics and Well Written Essays - 750 words

Week one questions - Essay Example â€Å"Though Nokia invested a large amount on its new version called "Nokia Lumia 920", it did not meet the expectations of Nokia’s customers†(Giri, 2012). Nokia promised much and delivered less whereas its competitors like Samsung and Apple promised less and delivered more. Apple is using its own iOS operating system in iPhones whereas Samsung is using Google’s Android OS in its smartphones. Even though Windows is the leading OS in the computer world, it is not so in the mobile phone world. Moreover, the features and designs of Lumia are comparatively inferior to that of iPhone or Galaxy S3. All these factors contributed heavily to Lumia’s failure in the market despite the fact that smartphone market is growing rapidly. Google trends and marketresearch.com are the two websites I would like to use for market research. Present trends in the market with respect to any product are displayed in Google trends. It provides graphical illustrations also about the present trends in the market. Market research.com is another website which helps entrepreneurs to check the current trends in the market. It provides market intelligence required to make sound business decisions. I would like to search these websites to know the demand and supply of the product or service which I am going to offer to the consumers. Moreover, I will look for the competition and price factors also. Market research is a costly act. It is often done with the help of primary as well as secondary research. Modern technologies like computers and internet helps even small scale industries to conduct effective and less costly market research. Survey and focus groups are the two cheapest options available for small scale industries to learn the market trends. Surveys are primary market research method aimed to collect primary data from specific group of people or consumers. It can be administered easily with the help of email or

Death and Grief in Midterm Essay Example for Free

Death and Grief in Midterm Essay Out Out was written by Robert Frost who was an American poet born in 1874. He moved to New England, a farming region, where most of his poems were inspired. Mid Term Break was written by Seamus Heaney, who was born on a farm in County Londonderry in Northern Ireland. It is evident that both poets backgrounds have had much influence in their poetry writing which can be seen from these two poems. Although, Robert Frost attended Harvard University he had to leave early to support his family by moving to a farm in New Hampshire. He also had six children but four of them died before he did. In Out Out, he writes about the harsh reality of a young boy from a poor working class background having to work on a farm in order to help his family which led to his horrific and unmourned death. Apparently this was based on a true event. Seamus Heaney was one of nine children. When he was twelve he won a scholarship to St Columbs College in Londonderry. When he was studying there his four year old brother, Christopher, was killed in a road accident. Mid Term Break is based on this event. In contrast the death of Seamus Heaneys brother is described as a very emotional event mourned by family and friends. I am able to point out many similarities between these the poems but also a number of differences. The themes of the two poems focus on the death of two young boys. However in Mid Term Break the focus is on the aftermath and emotional responses of friends and family to a terrible accident. The boy is dead at the start of the poem. In Out Out the boy dies during the poem. This poem is written like a running commentary and his family show little emotion when he dies. I find this shocking. Also, both boys have died due to an accident at the hands of a machine. In Mid Term Break, the boy was killed by a car and in Out Out he was killed by a buzz saw. The difference is that one boy is left with hardly a scar, only a poppy bruise yet the other boy sustains horrific injuries by losing his hand and bleeding to death. One boy is killed instantly by a car and the other boy slowly bleeds to death. Both poems create an uneasy opening and an atmosphere of suspense. In Mid Term Break, Seamus Heaney describes the knelling of bells which is a sinister phrase used to describe funeral bells. He is also waiting to be picked up by his neighbour which indicates something may have happened to a family member. In Out Out, the poems tone begins with the description of the buzz saw which is threatening and sinister. The poet uses words like Buzz, snarled, rattled. These words are words used to describe a hungry ferocious animals like a venomous snake or a wild dog. The words are a good use of onomatopoeia. They introduce a sense of threat into the poem as they might be associated with danger and accidents. Robert Frost uses sibilance at the start of his poem. He changes the tone of the poem and refers to Sweet scented stuff when the breeze blew across it. This sentence appeals to our sight, smell and hearing. These are calm, gentle words in contrast to the threatening words used to describe the buzz saw. Seamus Heaney uses alliteration at the start of his poem, Counting bells knelling classes to a close. The sounds used here make you think of the tick tock of a clock. It also a metaphor as knelling bells are also bringing his brothers life to a close. Both of the poems have shocking endings. In Mid Term break we realise that the dead child was only 4 years old. A four foot box, a foot for every year. Nearly every word in the last line is short. It gives a sense of shortness and comes to an abrupt ending just like the brothers life. The ending in Out Out is equally appalling as it ends with the family showing little or no emotion to the death of their son. It also had an abrupt ending. Another similarity between the poems is that time is referred to in both of them. In Out Out, reference is made to the sunset far in Vermont. This suggests that light is becoming dimmer and the dim light could also have led to the accident occurring and the eerie atmosphere. In Mid Term break the poet refers to 10 Oclock twice which is a bright part of the day. Both poems use language with attitude. In Mid-Term Break Seamus Heaney uses metaphors wearing a poppy bruise this helps create an image because even though we know the dead child is not literally wearing a poppy bruise we can imagine what the bruise would look like and it is also a symbol of death. Also alliteration is used in a four foot box, a foot for every year. This makes the text seem more aggressive. It uses this technique to show the families anger at the death of the young child. Both poets use caesura in their poems. The effect of this is to build up tension and perhaps prepare the reader for unexpected events. Caesura is used in Mid Term Break just as Heaney is about to enter the room where his dead brother was resting. He does not know what to expect. It is used in Out Out at And nothing happened: day was all but done. The effect of the caesura is to put on pause the scene painted. It is near the end of the working day and the work is nearly completed and everything appears to be normal. In the first line of the poem we had that feeling that something sinister and threatening was going to happen and this pause may be used to allow the reader to prepare us for an expected significant event that was about to take place. Enjambment is used throughout Mid Term break. It gives the effect that the poet is in a sort of daze. There are also many differences between the two poems. The two families are from a different class. One boy comes from a working class background and another boy is from a more affluent background as the other boy is attending boarding school. Also, Mid Term Break was written in 1st person while Out Out was written in third person. You can understand more about the emotions that are felt in Mid Term Break. Although, Out Out has more action in it as it is a fast flowing poem. There is also a striking difference in how the families react to the death of the children. In Out Out there was no real emotion shown when the boy finally died. He is left alone and they then return to their work. In contrast, Mid Term Break describes the scene of the father crying uncontrollably. This would not be an expected reaction for men in Ireland to cry as they would normally bottle their emotions up. The fact that Jim Evans said it was a hard blow shows that it was someone close to the family. Friends and family gather at the house to offer their condolences. The body was then brought home and viewed in a coffin. Another difference is how the two boys are treated by their families. The boy in Out Out is treated as an adult who is doing a mans job. He is treated no different than anyone else. In Mid Term Break, the boy is being educated. He is however treated like a man when old men stand up to shake his hand as his father is in a bad state, people told strangers that he was the eldest. However, he is then reduced to a small child again when his mother holds on to his hand as she doesnt want to let him out of her sight. There is also a difference in the acceptance of the two deaths. In Out Out there wasnt any grieving amongst the family members but in Mid Term Break there is little acceptance particularly from the boys mother. The poem says she coughed out angry tearless sighs. She may be blaming herself as should have been with her child or not let him out of her sight.

Design of Face Recognition Image Processor

Design of Face Recognition Image Processor Abstract This project deals with the design and implementation of an image processing system for Face recognition using MATLAB. Image treatment is a complex task so, we must study all the background information that image formation and processing requires, and learn the main MATLAB functions which will have to be used. The purpose for this study is to investigate a software application that can show how an image is processed in computer platform. The processing will be done in comparing the sketch image with the real picture to matrix model by using MATLAB program. Picture will be shown when program is running successfully. Real image or picture will be resulted from the matrix using the function in the MATLAB. We can use various functions such as filter or rotate depending on the user itself. In this study, the picture or real image used is from Internet that has referenced properly, scanner and etc. Basic mathematical calculation does not apply in this project as it only used MATLAB program. The significant of this project is to educated user and for us to learn how to process images by MATLAB to learn how the image can be changes after the function indicated by the program. Introduction: Our project is about to know how we can employ image processing application by using MATLAB functions. By the help of image processing Toolbox of MATLAB we were able to modify/write a program with GUI to read images, process them, blur them, and then recognize them as versions of the same images that exist in an image database; lastly we were able to display the original and blurred images. Image processing is the field of signal processing where both the input and output signals are images. Images can be thought of as two-dimensional signals via a matrix representation, and image processing can be understood as applying standard one-dimensional signal processing techniques to two-dimensional signals. Image processing is a very important subject, and finds applications in such fields as photography, satellite imaging, medical imaging, and image compression, just to name a few. In the past, image processing was largely done using analog devices. However, as computers have become more powerful, processing shifted toward the digital domain. Like one-dimensional digital signal processing, digital image processing overcomes traditional analog problems such as noise, distortion during processing, inflexibility of system to change, and difficulty of implementation. The image processing technique we will be implementing will be image blurring even there are many image processing techniques we have by using MATLAB to output the image as a matrix and store it in the data memory. In todays world, digital technology is ever growing, and the development of digitally based products is rising. Various industries such as audio, video, and cellular industry rely heavily on this digital technology. A great part of this deals with digital signal processing. This aspect in engineering has gained increasing interest, especially with much of the world now turning to wireless technology and its applications to keep businesses and industries connected. The world of digital technology is certainly one that will be present for many years to come. [Ref: 4] Project outline: This report consists four chapters. In first chapter, it discuss about the objective and scope of this project as long as summary of works. While Chapter 2 will discuss more on theory and literature reviews that have been done. In Chapter 3, the discussion will be on the methodology hardware and software implementation of this project. The result and discussion will be presented in Chapter 4. Last but not least, Chapter 5 discusses the conclusion of this project and future work that can be done. Problem Statement: In the image processing program, the info for the function are not stated clearly enough and make people understand. In the GUI (Graphical User Interface) program, the info should function as pop-up window after user press any function button. As the project title is Image Processing using MATLAB Learning Tool, the information is not good enough and clears to understand to be recognized by people. The main problem is the effectiveness of people to recognize it. Basically we have used many techniques through which we tried to simplified the way of face recognition. We have used eigenface technique that is very standarlize way to recognize the face using MATLAB application MATLAB also can be used in industry in the areas of bar coding, deck-top publication, copy preparation for printing and factory automation. However, due to the information and studies this state of program of image processing that I only can create. More advance and more functional program can be creating by using MATLAB. Thereby, to write the program became problem and this project not perfectly complete. The problem which comes to set a task to recreate the convolution function for applying filters in image processing. It is very difficult to manage and get the code working. It is also not easy to write our own m-function for unsharp masking of a given image to produce a new output image. During the project development we found following difficulties Apply smoothing to produce a blurred version of the original image, subtract the blurred image from the original image to produce an edge image. Add the edge image to the original image to produce a sharpened image. When carrying out the convolution image is cropped down by some pixel, this means when we go to carry out the subtraction for the unsharpening the images are not the same size and the subtraction cannot take place. To overcome this problems we created a blank matrix in the convolution function that is the same size as the image being inputted, the new image will then go on top of this matrix so in affect the new image has a 1 pixel border around it to make it to its original size. It is very interesting and challenging to come out from these above mentioned problems and for that we have done. Solutions to problems in the field of digital image processing generally require extensive experimental work involving software simulation and testing with large sets of sample images. Although algorithm development typically is based on theoretical underpinnings, the actual implementation of these algorithms almost always requires parameter estimation and, frequently, algorithm revision and comparison of solutions. Because it works in the MATLAB computing environment, the Image Processing Toolbox offers some significant advantages Key components of our approach We have used Eigen Vector method [Ref 12] that is a set of eigenfaces can be generated by performing a mathematical process called principal component analysis (PCA) on a large set of images depicting different human faces. Informally, eigenfaces can be considered a set of standardized face ingredients, derived from statistical analysis of many pictures of faces. Any human face can be considered to be a combination of these standard faces. For example, ones face might be composed of the average face plus 10% from eigenface 1, 55% from eigenface 2, and even -3% from eigenface 3. Remarkably, it does not take many eigenfaces combined together to achieve a fair approximation of most faces. Also, because a persons face is not recorded by a digital photograph, but instead as just a list of values (one value for each eigenface in the database used), much less space is taken for each persons face. Apart from these our project methodology includes the following: Use MATLAB to simulate the processing technique. Carefully locating the memory blocks where we will store our original and output image. Comparing our results in MATLAB. Basically the eigenvectors of a square matrix are the non-zero vectors that, after being multiplied by the matrix, remain proportional to the original vector (i.e., change only in magnitude, not in direction). For each eigenvector, the corresponding eigenvalue is the factor by which the eigenvector changes when multiplied by the matrix. The eigenvectors are sometimes also called proper vectors, or characteristic vectors. Similarly, the eigenvalues are also known as proper values, or characteristic values. The mathematical expression of this idea is as follows: if A is a square matrix, a non-zero vector v is an eigenvector of A if there is a scalar ÃŽ » (lambda) such that The scalar ÃŽ » is said to be the eigenvalue of A corresponding to v. An eigenspace of A is the set of all eigenvectors with the same eigenvalue together with the zero vectors. However, the zero vector is not an eigenvector. any problems present themselves in terms of an eigenvalue problem: A ·v=ÃŽ »Ã‚ ·v In this equationAis an n-by-n matrix,vis a non-zero n-by-1 vector and ÃŽ » is a scalar (which may be either real or complex). Any value of ÃŽ » for which this equation has a solution is known as an eigenvalue of the matrixA. It is sometimes also called the characteristic value. The vector,v, which corresponds to this value is called an eigenvector. The eigenvalue problem can be rewritten as A ·v-ÃŽ »Ã‚ ·v=0 A ·v-ÃŽ »Ã‚ ·I ·v=0 (A-ÃŽ »Ã‚ ·I ·v)=0 If v is non-zero, this equation will only have a solution if |A-ÃŽ »Ã‚ ·I|=0 This equation is called the characteristic equation ofA, and is an nthorder polynomial in ÃŽ » with n roots. These roots are called the eigenvalues ofA. We will only deal with the case of n distinct roots, though they may be repeated. For each eigenvalue there will be an eigenvector for which the eigenvalue equation is true. This is most easily demonstrated by example Example: Find Eigenvalues and Eigenvectors of a 22 Matrix If then the characteristic equation is and the two eigenvalues are ÃŽ »1=-1, ÃŽ »2=-2 All thats left is to find the two eigenvectors. Lets find the eigenvector,v1, associated with the eigenvector, ÃŽ »1=-1, first. so clearly from the top row of the equations we get Note that if we took the second row we would get In either case we find that the first eigenvector is any 2 element column vector in which the two elements have equal magnitude and opposite sign. Where k1is an arbitrary constant. We didnt have to use +1 and -1, we could have used any two quantities of equal magnitude and opposite sign. Going through the same procedure for the second eigenvalue: Again, the choice of +1 and -2 for the eigenvector was arbitrary; only their ratio is important. Scope of Project The scope of our project includes the following: Study and understand the image processing in varies method, mainly in MATLAB. Create a GUI (Graphical User Interface) MATLAB program with several functions. This requires identifying the steps which must be done to obtain some results. Further this project, the main areas considered are: Study about MATLAB, and its main functions to obtain and process images. Write or modify a program which can be used to acquire and treat images. Some information about the image file and its characteristics to understand the information it contains. Objective of the Project The objective of this project is actually to educate us and new comers to basic and fundamental technique in image processing through integrated image processing software. All fundamental algorithms of image processing will be exposed through this package [Ref] the program is in appendix -B. This package will also provided easy-to-learn mechanisms turn user-friendly and graphic-orientation environment. These operations include preprocessing, spatial filtering, image enhancement, feature detection, image compression and image restoration involves process which restores a degraded image to something close to the ideal. Generally, in computer vision, especially in MATLAB program (image understanding or scene analysis) involves technique from image processing, pattern recognition and artificial intelligent. Particularly, MATLAB program offers many features and are more multifaceted then any calculator. MATLAB toolbox is a tool for making mathematical calculations. Literature review (Related Work to our Project) Image processing is any form of signal processing for which the input is an image, such as photographs; the output of image processing can be either an image or a set of characteristics or parameters related to the image. Most image-processing techniques involve treating the image as a two-dimensional signal and applying standard signal-processing techniques to it. Image processing converting the image to another form by using direction in MATLAB/Toolboxes/Image Processing tables for example is image input/output, color operation, image enhancement/ analysis and another method. Image processing and computer vision practitioners tend concentrate on a particular area of specialization. People refer to their research interests as â€Å"texture†, â€Å"surface mapping†, â€Å"video tracking†, and the like. Nevertheless, there is a strong need to appreciate the spectrum and hierarchy of processing levels. Image processing is the manipulation of the image by using a computer, with the objective to enhance or evaluate some aspect of an image which is not readily apparent in its original form. This is done through the development and implementation of processing means necessary to operate on the image. Processing image using a digital computer provides the greatest flexibility and power for general image processing application, since the programming of a computer can be changed easily which allows operation to be modified quickly. Interest in image processing technique dates back to early 1920s when digitized pictures of world news events were first transmitted by submarine cable between Newyork and London. However, application of digital image processing concepts did not become widespread until the middle 1960s, when third-generation digital computers began to offer the speed and storage capabilities required for practical implementation of image processing algorithms. Since then, this area has experienced vigorous growth and has been subjected of study and research in such fields as engineering, computer science, statistics, information science, physics, chemistry and medicine. The result of these efforts have established the value of image processing technique in of problem with application in diverse fields, including automated factory controlled, astronomy, meteorology, agriculture, medicine, art and military application. With the increasing availability of reasonably inexpensive hardware and some very importance application on the horizon, image technology is expected to continue its growth and to play an important role in the future. From the MATLAB software we have the Toolbox for image processing and Professional MATLAB. MATLAB is the interactive environment, scientists and engineers are able to analyze and develop algorithms with exceptional improvements n productivity and creativity. As a result of new algorithms with application-specific uses. The MathWorks offers a series of application toolboxes that contain set of MATLAB ofr the Linear algebra, high-speed computational kernel, extensive mathematical functionality, data analysis, 2-D and 3-D graphic rapid algorithm development, matrix based programming environment. In MATLAB Toolboxes professional version but priced at a lower rate for academic use. [Ref: 4] About Image Processing Tools of Matlab This set of Matlab tools consists of some functions that I have found useful for basic image processing and image analysis. When working with binary objects (4-connected foreground regions), we have often found it useful to measure features from the boundary stored as a list of coordinates. In other words, sometimes it is better to work with a polygon defining the foreground-background boundary than to work with a black and white image of the object. The boundary of an object in a binary (black and white) image can be stored as a list of pixel corner coordinates. The functiongetboundarymex [Ref 7] forms a list of these corner coordinates from a binary image containing an object. The toolbox containsselectobjectmexfor selecting regions by size. The commandimOut=selectobjectmex(imIn,n)will return an image,imOut, containing only thenth largest object (in terms of number of pixels) of the original imageimIn. This function is particularly useful if one wants to quickly threshold an image and then select the largest object without having to worry about smaller objects that are not of interest, e.g.imOut=selectobjectmex(im>0.5,1). [Ref:9] Also included is code for watershed segmentation by flooding from selected sources, fast calculation of object centroids etc. The usage of each the function is described by typinghelpfunctionat the MATLAB command prompt, wherefunctionis the name of the relevant function. The M-file scriptkftools shows an example of the usage of all of the functions in this toolbox . THEORY: There are various ways of implementing the image blurring technique: Linear blur horizontal or vertical averaging of a fixed number of pixels. Block blur averaging a small block of pixels by propagating a fixed sized window through the entire image. Gaussian blur convolution of the image with a two-dimensional Gaussian function. Linear blur: This is the simplest image blurring technique. It is done by taking the N-point average of a linear block of pixels (either horizontally or vertically). In our implementation, N will be 8, and we will be using the horizontal blur. An 1Ãâ€"N-pixel window is placed at the top left of the image, and the average of the window is stored in the N/2th pixel of the window (in a new image to prevent overwriting). The window is then shifted across the row and the process is repeated. Once the window reaches the end of the row, it is moved to the next row and the process repeats itself. [Ref:11] The advantage of this method is that it is the simplest of the three. However, it also gives the poorest blurring quality. This is because by taking the horizontal average of each row, there will be averaging â€Å"lines† in the output image. Also, parts of the picture where the detail does not span enough horizontal pixels will be lost after blurring. Finally, by the way this algorithm is designed, there will be an outer frame of the output image identical to the input image (i.e. the outer part of the image remains not blurred). [Ref:11] Block blur: This method is analogous to the linear blur, except that our window is now an NÃâ€"N-pixel window. The procedure is the same as the linear blur, with the averaged pixel stored in the (N/2, N/2) position of the window. See block_blur.m for the MATLAB implementation of this algorithm. This method improves upon the quality of the linear blur in that averaging â€Å"lines† are no longer visible in the output image. It also helps to retain details that span small horizontal distances in the original image better. However, it still does not overcome the problem of an outer frame in the output image that remains not blurred. [Ref:11] Gaussian blur: This is the best implementation of the image blurring technique, and is used in such commercial software as Adobe Photoshop. Unfortunately, it is also the most complex. It works by performing a two-dimensional convolution on the input image with a normalized two-dimensional MÃâ€"M-pixel Gaussian function. Intuitively, each pixel of the output image is actually a Gaussian function centred at each point of the input image. Hence, the convolution will increase the size of the output image to N+M-1, so that after convolution we must crop the image to reduce it to its proper size. This method is the best of the three. It has no averaging â€Å"lines† present, and it also blurs the entire image. Image Processing Toolbox (give reference to the Toolbox) Image Processing Toolbox provide us a comprehensive set of reference standard algorithms and graphical tools for image processing, analysis, visualization, and algorithm development. We can perform image enhancement, image deblurring, feature detection, noise reduction, image segmentation, spatial transformations, and image registration. Image Processing Toolbox supports a diverse set of image types, including high dynamic range, gigapixel resolution, ICC-compliant color, and tomographic images. Graphical tools let we explore an image, examine a region of pixels, adjust the contrast, create contours or histograms, and manipulate regions of interest (ROIs). With the toolbox algorithms we can restore degraded images, detect and measure features, analyze shapes and textures, and adjust the color balance of images. Key Features Image enhancement, filtering, and deblurring Image analysis, including segmentation, morphology, feature extraction, and measurement Spatial transformations and image registration Image transforms, including FFT, DCT, Radon, and fan-beam projection Workflows for processing, displaying, and navigating arbitrarily large images Modular interactive tools, including ROI selections, histograms, and distance measurements ICC color management Multidimensional image processing Image-sequence and video display DICOM import and export We have collected many image processing function which can make our project easy to execute , some of these function we used are as follows. Image Display and Exploration Immovie: Make movie from multiframe image Implay: Play movies, videos, or image sequences Imshow: Display image Imtool: Image Tool Montage: Display multiple image frames as rectangular montage Subimage: Display multiple images in single figure Warp: Display image as texture-mapped surface Image File I/O analyze75info: Read metadata from header file of Analyze 7.5 data set analyze75read: Read image data from image file of Analyze 7.5 data set Dicomanon: Anonymize DICOM file Dicomdict: Get or set active DICOM data dictionary Dicominfo: Read metadata from DICOM message Dicomlookup: Find attribute in DICOM data dictionary dicomread: Read DICOM image Dicomuid: Generate DICOM unique identifier Dicomwrite: Write images as DICOM files Hdrread: Read high dynamic range (HDR) image Hdrwrite: Write Radiance high dynamic range (HDR) image file Interfileinfo: Read metadata from Interfile file Interfileread: Read images in Interfile format Isrset: Check if file is R-Set Makehdr: Create high dynamic range image Nitfinfo: Read metadata from National Imagery Transmission Format (NITF) file Nitfread: Read image from NITF file Openrset: Open R-Set file Rsetwrite: Create reduced resolution data set from image file Image Types and Type Conversions Demosaic: Convert Bayer pattern encoded image to truecolor image gray2ind: Convert grayscale or binary image to indexed image Grayslice: Convert grayscale image to indexed image using multilevel thresholding Graythresh: Global image threshold using Otsus method im2bw: Convert image to binary image, based on threshold im2double: Convert image to double precision im2int16: Convert image to 16-bit signed integers im2java2d: Convert image to Java buffered image im2single: Convert image to single precision im2uint16: Convert image to 16-bit unsigned integers im2uint8: Convert image to 8-bit unsigned integers ind2gray: Convert indexed image to grayscale image ind2rgb: Convert indexed image to RGB image label2rgb: Convert label matrix into RGB image mat2gray: Convert matrix to grayscale image rgb2gray: Convert RGB image or colormap to grayscale We both studied the function properly and found few of them are very important for us to understand deeply. In order to segregate the most important function we select some of from them. System description: This project will use the MATLAB software package to develop algorithms which can automatically analyze these images for potential comets. MATLAB is a high-level programming environment very popular with scientists and engineers because of its powerful toolboxes and easy to use scripting language. Basic algorithms from the image processing toolbox will be utilized to find comets using the following general steps: Load original images into MATLAB Process images to isolate all bright spots and eliminate glare due to solar ejections Compare spots in subsequent images to find potential comet trajectories Analyze trajectories to ensure they meet known characteristics Highlight possible comets in original images and create output image Basically, MATLAB software has many functions/commands to apply in image processing. How to manipulate the program depending to us but must be practically know what item is MATLAB program will be used. Creativity in MATLAB can make the interesting result. Even, the complex data can be solved in MATLAB. Especially when the data involved is very complex. Here, we can create some image from converting data by using the some program in MATLAB, which just applied all procedure in the MATLAB program. MATLAB toolbox is a tool for making mathematical calculations. Image processing toolbox is user friendly programming language with feature more advanced. In the program also used the GUI (Graphical User Interface, move this definition to the first place where we used GUI) to create develop the program. Techniques and algorithm: Image and MATLAB involves the conversion of scene into a digital representation that can be processed by a digital computer. This can be performed by a sensor system specially designed to view a image and provide a digital representation of the image. When the images are installed in MATLAB, my picture for example, the color of that image is first analyzed. In the process include several functions of image processing technique. Processed Image is the image display after the process. GUI (Graphical User Interface) A graphical user interface (GUI) is a graphical display in one or more windows containing controls, called components that enable a user to perform interactive tasks. The user of the GUI does not have to create a script or type commands at the command line to accomplish the tasks. Unlike coding programs to accomplish tasks, the user of a GUI need not understand the details of how the tasks are performed. GUI components can include menus, toolbars, push buttons, radio buttons, list boxes, and sliders just to name a few. GUIs created using MATLAB tools can also perform any type of computation, read and write data files, communicate with other GUIs, and display data as tables or as plots Most GUIs wait for their user to manipulate a control, and then respond to each action in turn. Each control, and the GUI itself, has one or more user-written routines (executable MATLAB code) known as callbacks, named for the fact that they call back to MATLAB to ask it to do things. The execution of each callback is triggered by a particular user action such as pressing a screen button, clicking a mouse button, selecting a menu item, typing a string or a numeric value, or passing the cursor over a component. The GUI then responds to these events. We, as the creator of the GUI, provide callbacks which define what the components do to handle events. This kind of programming is often referred to as event-driven programming. In the example, a button click is one such event. In e vent-driven programming, callback execution is asynchronous, that is, it is triggered by events external to the software. In the case of MATLAB GUIs, most events are user interactions with the GUI, but the GUI can respond to other kinds of events as well, for example, the creation of a file or connecting a device to the computer. We can code callbacks in two distinct ways: As MATLAB functions, written in M and stored in M-files As strings containing MATLAB expressions or commands (such as c = sqrt(a*a + b*b);or print) Using functions stored in M-files as callbacks is preferable to using strings, as functions have access to arguments and are more powerful and flexible. MATLAB scripts (sequences of statements stored in M-files that do not define functions) cannot b e used as callbacks. Although we can provide a callback with certain data and make it do anything we want, we cannot control when callbacks will execute. That is, when wer GUI is being used, we have no control over the sequence of events that trigger particular callbacks or what other callbacks might still be running at those times. This distinguishes event-driven programming from