COMPUTER VISION BAI515A
Introduction: What is computer vision? A brief history.
Image Formation: Photometric image formation, The digital camera.
Image processing: Point operators, Linear filtering.
Image processing: More neighborhood operators, Fourier transforms, Pyramids and wavelets, and Geometric transformations.
Image Restoration and Reconstruction: A model of image degradation/restoration process, restoration in the presence of noise only, periodic noise reduction by frequency domain filtering.
Image Segmentation: Fundamentals, Point, Line and edge detection, thresholding (foundation & basic global thresholding only), Segmentation by region growing & region splitting & merging.
Color Image Processing: Color fundamentals, color models, Pseudocolor image processing, full color image processing, color transformations, color image smoothing and sharpening, Using color in image segmentation, Noise in color images.
Morphological Image Processing: Preliminaries, Erosion and Dilation, opening and closing, Hit-ormiss transform, some basic morphological algorithms.
Feature Extraction: Background, Boundary preprocessing (Boundary following & Chain codes only).
Image pattern Classification: Background, Patterns and classes, Pattern classification by prototype matching (Minimum distance classifier only).
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