Pattern Recognition and Image Preprocessing

Sing T. Bow (Northern Illinois University, Dekalb, USA)

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English

CRC Press Inc
11 January 2002

Neural networks & fuzzy systems; Pattern recognition; Signal processing; Image processing

Series: Signal Processing and Communications

This text provides a step-by-step approach to the theory, methods, and principles of pattern recognition, image processing and neural computing. It offers practical applications in computer vision, industrial parts inspection, document image analysis, speech recognition, medical evaluation, and satellite and aerial-photography interpretation for

effective data analysis.

Edited by: Sing T. Bow (Northern Illinois University Dekalb USA)
Imprint: CRC Press Inc
Country of Publication: United States
Edition: 2nd edition
Volume: v. 14
Dimensions: Height: 229mm, Width: 152mm, Spine: 38mm
Weight: 1.088kg
ISBN: 9780824706593
ISBN 10: 0824706595
Series: Signal Processing and Communications
Pages: 720
Publication Date: 11 January 2002
Audience: College/higher education , Professional and scholarly , Further / Higher Education , Undergraduate
Format: Hardback
Publisher's Status: Active

Pattern recognition: supervised and unsupervised learning in pattern recognition; nonparametric decision theoretic classification; nonparametric (distribution-free) training of discriminant functions; statistical discriminant functions; clusteringanalysis and unsupervised learning; dimensionality reduction and feature selection. Neural networks for pattern recognition: multilayer perception; radial basis function networks; hamming net and Kohonen self-organizing feature map; the Hopfield model.Data preprocessing for pictorial pattern recognition: preprocessing in the spatial domain; pictorial data preposessing and shape analysis; transforms and image processing in the transform doamin; wavelets and wavelet transforms. Applications: exemplaryapplications. Practical concerns of image processing and pattern recognition: computer system architectures for image processing and pattern recognition. Appendices: digital images; image model and discrete mathematics; digital image fundamentals; matrixmanipulation; Eigenvectors and Eigenvalves of an operator; notation.

Sing T. Bow