Digital image processing and computer vision
John Wiley & Sons Australia, Limited, 1989 - Technology & Engineering - 489 pages
An introduction to computer vision and associated digital processing functions. Reviews all aspects of image processing, pattern recognition, geometric optics, and artificial intelligence that are important to solving computer vision problems. Also provides an introduction to digital image acquisition and display, hardware, and techniques. Discusses special computer architectures for computer vision, new neural network applications, edge detection strategies, and segmentation.
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Image Representations and Nomenclature
Overview of This Book
33 other sections not shown
adjacent affine transform algorithm application approach approximation array assumed basis function binary image camera Chapter computer vision concept consider constraints coordinate system corresponding defined denoted derived determine discrete edge detection element equations example extraction feature extraction formulation Fourier transform geometric given global Graphics grey-level Hadamard transform homogeneous coordinates Hough transform IEEE IEEE Trans image analysis image data image function image intensity image plane image points image processing imagery implementation indicates input image integral interpolation inverse label linear matching matrix median filter neural Note object point operator OPS5 optical flow orientation output image parallel parameters pattern recognition pixel pixel intensity problem processing and computer processor projection properties quadtree reconstruction region relationship representation represents resolution result rotation sampling scene Schalkoff sensor shown in Figure signal significant solution spatial stereo vision structure systolic array template texture threshold time-varying values vector yields