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A Pattern Recognition System
Image Acquisition and Modelling
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accumulator array algorithm applications Artificial Intelligence backward chaining bits boundary Boundary Representations camera canonical type centre Chapter circles co-ordinate colour Computer Vision constraints corresponding defined depth described detector digitised dual space edge detection edge operator equalised equation example Exercise filter Fourier Fourier theory frame frame buffer function generalised cones given grey levels histogram horizontal Hough transform ideas image dimension Image Processing impossible object input integer intensity interpretation iteration keypatches knowledge labels locate look Marr match measurements merge neighbouring nodes noise object edge observed occluded optical flow orientation output pads parameter particular pattern perform picture pixels position possible primitives probably problem recognition regions represent representation result rules scene domain scheme segmentation semantic semantic network shown in Figure simple square stereo surface techniques template tessellation three dimensional threshold tion unsigned char vertex vertical visible Vision systems WISARD