Handbook of Pattern Recognition and Image Processing, Volume 1Tzay Y. Young, King Sun Fu This practical handbook provides a broad overview of the major elements of pattern recognition and image processing (PRIP). Currently the only handbook in the field, it is designed as a source of "quick answers" for those interested in the theoretical development and practical applications of PRIP techniques. Twenty years of research, development, and innovations in applications are documented in this comprehensive work. Written by leading researchers in the field, chapters deal with statistical and syntactic pattern recognition feature selection and extraction cluster analysis image enhancement and restoration shapes, texture, and motion computer vision computer systems and architectures for image processing and various industrial and biomedical applications. Engineers, computer scientists, other professionals, and students interested in applying PRIP techniques will find the Handbook of Pattern Recognition and Image Processing to be an invaluable reference source. |
Contents
Estimation of the Bayes Error | 12 |
Classifier Design | 22 |
Classifier Evaluation | 29 |
Copyright | |
62 other sections not shown
Common terms and phrases
Academic Press applications approach array Artificial Intelligence bandwidth compression Bayes error binary boundary cellular logic classifier cluster analysis clustering algorithms coding Computer Graphics Computer Vision corresponding defined density distance edge detection equations estimation example feature extraction feature selection filter frequency function Gaussian grammar graph Haralick hierarchical histogram icons IEEE IEEE Trans IEEE Transactions image data image database Image Processing input intensity K. S. Fu language linear Machine Intelligence Markov matrix measure methods motion neighbors node noise nonterminal object obtained operations optical optical flow optimal output parameters parsing partition Pattern Analysis pixels points primitives probability problem Proc processor quadratic classifier quadtree quantization random RECOGNITION AND IMAGE regions representation Rosenfeld samples scene segmentation sequence shape shown in Fig signal space spatial state-space statistical stochastic string structure surface syntactic pattern recognition techniques template texture analysis three-dimensional threshold tion tree two-dimensional types vector VLSI waveform