Course Syllabus
Image Morphology: Binary and gray scale Morphological analysis – Dilation and Erosion -Skeletons and Object Marking – Granulometry – Morphological Segmentation. Feature extraction: Global image measurement, feature specific measurement, characterizing shapes, Hough Transform. Representation and Description: Region Identification – Contour Based and Region Based Shape Representation and Description – Shape Classes. Flexible shape extraction: active contours, Flexible shape models: active shape and active appearance. Texture representation and analysis: Statistical Texture Description – Syntactic Texture Description Methods – Hybrid Texture description Methods – Texture Recognition Method Applications. Image Understanding: Control Strategies –RANSAC – Point Distribution Models – Scene Labeling and Constraint Propagation. Image Data Compression: Predictive Compression Methods – Vector Quantization, DCT, Wavelet, JPEG.