Multispectral Image Processing and Pattern Recognition (Google eBook)
World Scientific, Jan 1, 2001 - Computers - 128 pages
A study of multispectral image processing and pattern recognition. It covers: geometric and orthogonal moments; minimum description length method for facet matching; an integrated vision system for ALV navigation; fuzzy Bayesian networks; and more.
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On Geometric and Orthogonal Moments
The Nature Factor
Minimum Description Length Method for Facet Matching
Fuzzy Bayesian Networks A General Formalism for Representation
Extraction of Bibliography Information Based on Image of Book Cover
Radar Target Recognition Based on Parametrized High Resolution
3D object 3D vision achromatic algorithm applications approximated articulated object articulated portion Artificial Intelligence background calculation CGRP models China classification color space segmentation complexity Computer Science computer vision continuous variable defined denoted discrete Bayesian networks discrete parents edge form-II Fourier transform frequency domain fuzzy Bayesian network Gaussian-Hermite moment base gray levels GWNC HRRP hybrid Bayesian network hybrid cluster hybrid junction tree hybrid networks IEEE Trans imagery inference algorithm infrared images input junction tree Keio University Kolmogorov complexity line of sight Minimum Description Length multilevel filter multiresolution analysis Multispectral Image Processing noise orthogonal moments orthogonal polynomial P. S. P. Wang paper parameters Pattern Recognition PHRRP's pixels polynomial Proc Processing and Pattern range Robots shape Shen shown in Fig signal small target detection spatial SPIE stereo vision threshold University vehicle vision system wavelet white line wide baseline stereo width window
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