2. Syllabus

Chapter 1: Fundamentals of Digital Image

Image formation, visual perception, CCD & CMOS Image sensor, Image sampling: Two dimensional Sampling theory, Hexagonal Sampling and Non Uniform Sampling, Optimal sampling, Image quantization, Non uniform Quantization, Image formats. Types of pixel Operations, Types of neighborhoods, adjacency, connectivity, boundaries, regions, Color models.

Chapter 2: Image Enhancement in Spatial and Frequency domain

Basic gray level transformations, histogram processing, Smoothing operations, Edge Detection-derivative based operation, filtering in frequency domain, 2D-DFT, Smoothing frequency domain filters, Sharpening frequency domain filters, Homomorphic filtering.

Chapter 3: Morphological Image Processing & Image Compression

Dilation and Erosion, Opening and Closing, Hit-or-Miss transformation, Boundary Extraction, Region filling, Extraction of Connected Components, Convex Hull, Thinning, Thickening, Skeletons, Pruning.

Chapter 4: Image Segmentation

Detection of discontinuities, Point-line- edge detection, Linear and Circular Hough Transform, Basic Global and Adaptive Thresholding, Region Based segmentation, K-Means Clustering.

Chapter 5: Image Compression & Description

Fundamentals of Image compression models, Lossless compression: variable length coding, LZW coding, Arithmetic coding, Lossy compression: Wavelet and DCT coding, Types of Image features, Chain code, Image Moments.