Multispectral Image Processing and Pattern Recognition (Google eBook)
Contents: Introduction (J Shen et al.); 3D Articulated Object Understanding, Learning, and Recognition from 2D Images (P S P Wang); On Geometric and Orthogonal Moments (J Shen et al.); Multispectral Image Processing: The Nature Factor (W R Watkins); Detection of Sea Surface Small Targets in Infrared Images Based on Multilevel Filter and Minimum Risk Bayes Test (Y-S Moon et al.); Minimum Description Length Method for Facet Matching (S Maybank & R Fraile); An Integrated Vision System for ALV Navigation (X Ye et al.); Fuzzy Bayesian Networks OCo A General Formalism for Representation, Inference and Learning with Hybrid Bayesian Networks (H Pan & L Liu); Extraction of Bibliography Information Based on Image of Book Cover (H Yang et al.); Radar Target Recognition Based on Parameterized High Resolution Range Profiles (X Liao & Z Bao). Readership: Computer scientists and electrical engineers."
What people are saying - Write a review
We haven't found any reviews in the usual places.
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
Page 6 - 0. Unmark all input lines. Select a node a with maximum number of neighbors (if there are more than one such node, select the one with a longest line, else select