Course

Introduction and Fundamentals of Image Processing: Origins of Digital Image Processing –Examples – Fundamental Steps in Digital Image Processing – Elements of Visual Perception -A Simple Image Formation Model – Basic Concepts in Sampling and Quantization-Representing Digital Images- Zooming and Shrinking Digital Images – Some BasicRelationships between Pixels – Linear and Nonlinear Operations – Connectivity and Relationsbetween Pixels.Simple Operations- Arithmetic, Logical, Geometric Operations. Image Enhancement in theSpatial Domain and Frequency Domain: Some Basic Gray Level Transformations -Histogram Processing – Basics of Spatial Filtering – Smoothing Filters-Mean, Median, ModeFilters – Edge Enhancement Filters – Sobel, Laplacian, Robert, Prewitt filter, Contrast BasedEdge Enhancement Techniques.Design of Low Pass Filters – High Pass Filters- Edge Enhancement – Smoothening Filters inFrequency Domain. Butter Worth Filter, Homomorphic Filters in Frequency Domain.Comparative Study of Filters in Frequency Domain and Spatial Domain.Image Restoration – Segmentation and Morphology: A Model of the ImageDegradation/Restoration Process – Noise Models – Restoration in the Presence Of Noise Only– Spatial Filtering, Periodic Noise Reduction by Frequency Domain Filtering.Edge Detection – Line Detection – Curve Detection – Edge Linking and Boundary Extraction -Thresholding Algorithms- Region Based Segmentation – Region Growing – Connected26Components Labeling – Region Growing and Region Adjacency Graph (RAG), Split andMerge Algorithms – Morphology – Dilation, Erosion, Opening and Closing.

1. Rafael C. Gonzalez and Richard E. Woods,”Digital Image Processing”,Third Edition, Addison Wesley, 2007.
2. Arthur R.Weeks, Jr., “Fundamentals of Electronic Image Processing”,First Edition, PHI,1996.
3. Milan Sonka, Vaclav Hlavac and Roger Boyle,”Image processing, Analysis, and Machine Vision”,ThirdEdition,Vikas Publishing House, 2007.