GTU 2171712 Image Processing (Dept Elec-II): Syllabus

Sr. No.	Topics	Teaching Hours	Module Weightage
1	Introduction and Digital Image Fundamentals: Digital Image Fundamentals, Human visual system, Image as a 2D data, Image representation – Gray scale and Color images, image sampling and quantization	3	6 %
2	Image enhancement in Spatial domain: Basic gray level Transformations, Histogram Processing Techniques, Spatial Filtering, Low pass filtering, High pass filtering	8	15 %
3	Filtering in the Frequency Domain: Preliminary Concepts, Extension to functions of two variables, Image Smoothing, Image Sharpening, Homomorphic filtering	5	10 %
4	Image Restoration and Reconstruction: Noise Models, Noise Reduction, Inverse Filtering, MMSE (Wiener) Filtering	5	10 %
5	Color Image Processing: Color Fundamentals, Color Models, Pseudo color image processing	3	6 %
6	Image Compression: Fundamentals of redundancies, Basic Compression Methods: Huffman coding, Arithmetic coding, LZW coding, JPEG Compression standard	4	8 %
7	Morphological Image Processing: Erosion, dilation, opening, closing, Basic Morphological Algorithms: hole filling, connected components, thinning, skeletons	4	8 %
8	Image Segmentation: point, line and edge detection, Thresholding, Regions Based segmentation, Edge linking and boundary detection, Hough transform	8	15 %
9	Object Recognition and Case studies: Object Recognition- patterns and pattern classes, recognition based on decision – theoretic methods, structural methods, case studies – image analysis Application of Image processing in process industries	12	22 %

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