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Handbook of Pattern Recognition and Image Processing

  • ID: 1762631
  • Book
  • 705 Pages
  • Elsevier Science and Technology
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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.

Please Note: This is an On Demand product, delivery may take up to 11 working days after payment has been received.

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Pattern Recognition: K. Fukunaga, Statistical Pattern Classification. A.K. Jain, Cluster Analysis. J. Kittler, Feature Selection and Extraction. K.S. Fu, Syntactic Pattern Recognition. M.G. Thomason, Syntactic Pattern Recognition: Stochastic Languages. L.N. Kanal and G.R. Dattatreya, Problem Solving Methods for Pattern Recognition. Image Processing and Understanding: A. Habibi, Image Coding. R.C. Gonzalez, Image Enhancement and Restoration. R. Nevatia, Image Segmentation. L.S. Davis, Two-dimensional Shape Representation. R.M. Haralick, Statistical Image Texture Analysis. R.L. Kashyap, Image Models. A. Mitiche and J.K. Aggarwal, Computational Analysis of Time-Varying Images. T.S. Huang, Determining Three-Dimensional Motion/Structure from Two Perspective Views. A. Rosenfeld, Computer Vision. Systems and Architectures: S.-K. Chang, Image Database Systems. K. Preston, Jr., Cellular Logic Arrays for Image Processing. L. Uhr, Parallel Architectures for Image Processing, Computer Vision and Pattern Perception. T.Y. Young and P.S. Liu, VLSI Array Architecture for Pattern Analysis and Image Processing. Applications: R. De Mori and D. Probst, Computer Recognition of Speech. C.H. Chen, Seismic and Underwater Acoustic Waveform Analysis. R.G. Shiavi and J.R. Bourne, Methods of Biological Signal Processing. C.Y. Suen, Character Recognition by Computer and Applications. R.T. Chin, Algorithms and Techniques for Automated Visual Inspection. P.H. Swain, Remote Sensing. J. Sklansky, P.V. Sankar and R.J. Walter, Jr., Biomedical Image Analysis. A.C. Kak and B.A. Roberts, Reconstruction from Projections: Applications in Computerized Tomography. Index.
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Young, Andrew
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