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Preamble: The purpose of this course is to provide the basic concepts and methodologies for Digital Image Processing in three different levels. At the lowest level, the course introduces the terminology of image processing, how digital images are generated, how the data is stored, some of the different formats (bmp, gif, tiff, jpeg, etc) and the algorithms deal directly with the raw pixel values. In the middle level, it addresses how the algorithm utilizes low level results for the processes such as segmentation and edge linking. At highest level, it addresses how the algorithm attempts to extract the semantic information from those provided by the lower levels for classification and recognition. Program Outcomes addressed a. Graduates will demonstrate knowledge of mathematics, science and engineering. b. Graduates will demonstrate an ability to identify, formulate and solve engineering problems. f. Graduate will demonstrate skills to use modern engineering tools, softwares and equipment to analyze problems. Competencies: At the end of the course the student should be able to 1. Describe image acquisition, sampling and quantization 2. Understand different types of image transforms and their properties 3. Enhance and restore images in spatial as well as frequency domains 4. Segment given images in terms of edge, threshold and region. 5. Apply morphological operations like dilation, erosion, opening and closing ongiven images. 6. Represent, recognize and classify objects from the given images.

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Preamble: The purpose of this course is to provide the basic concepts and methodologies for Digital Image Processing in three different levels. At the lowestlevel, the course introduces the terminology of image processing, how digitalimages are generated, how the data is stored, some of the different formats(bmp, gif, tiff, jpeg, etc) and the algorithms deal directly with the raw pixelvalues. In the middle level, it addresses how the algorithm utilizes low levelresults for the processes such as segmentation and edge linking. At highest level,it addresses how the algorithm attempts to extract the semantic information fromthose provided by the lower levels for classification and recognition. Program Outcomes addressed a. Graduates will demonstrate knowledge of mathematics, science andengineering.b. Graduates will demonstrate an ability to identify, formulate and solveengineering problems.f. Graduate will demonstrate skills to use modern engineering tools, softwaresand equipment to analyze problems. Competencies: At the end of the course the student should be able to

1. Describe image acquisition, sampling and quantization 2. Understand different types of image transforms and their properties3. Enhance and restore images in spatial as well as frequency domains4. Segment given images in terms of edge, threshold and region. 5. Apply morphological operations like dilation, erosion, opening and closing ongiven images. 6. Represent, recognize and classify objects from the given images.