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A Pattern Recognition System
Image Acquisition and Modelling
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algorithm applications array Artificial Intelligence B-reps backward chaining bits boundary Boundary Representations camera Chapter circle centre Clowes co-ordinates colour Computer Vision constraints correspond crack edges defined depth described detection digitised dual space edge detector edge operator equalised equation example Exercise face filter FORK forward chaining Fourier theory frame function generalised given gradient grey levels histogram Hough transform idea image dimension image plane Image Processing input inspection intensity interpretation iteration keypatches malloc Marr match measure merge nodes noise object observed optical flow output pads parameter particular pattern perform picture pixels planar position possible probability problem radius recognition regions represent representation result rules scene domain scheme segmentation semantic network shown in Figure simple Sobel space stereo surface techniques template tessellation three dimensional threshold tion unsigned char vertex vertical visible Vision systems WISARD