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Pattern Recognition and Image Analysis by Earl Gose β€” book cover
Physics of Light - Optics, Optics - General & Miscellaneous, Neural Networks

Pattern Recognition and Image Analysis

by Gose, Earl, Johnsonbaugh, Richard, Jost, Steve
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Overview

Pattern recognition is at the heart of applications ranging from the identification of white blood cells to the selection of tax returns for auditing, from earthquake prediction to speech recognition. Pattern Recognition and Image Analysis is an ideal introduction to pattern recognition for both higher-level undergraduate and beginning graduate courses.


The book relies extensively on worked examples and realistic applications that have been thoroughly classroom-tested. Since images are often the input to pattern recognition systems, a survey of image processing theory is included, covering techniques such as scene segmentation, Hough transforms, least squares, Eigenvector line fitting, and Fourier transforms. These important aspects of pattern recognition are also presented:



  • Probability theory

  • Statistical decision making, including Bayes' Theorem

  • Nonparametric decision making, including histograms

  • Hierarchical and partitional clustering: the advantages and risks

  • Artificial neural networks--and how they work in real applications, such as classifying sex from facial images


Readers do not need computer science expertise, or a mathematics background beyond elementary calculus.


Pattern Recognition and Image Analysis includes a disk with sample digital images and data files, SAS programs, and C program implementations of several major algorithms discussed in the book.


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Editorials

Booknews

An introductory text for both upper-level undergraduate and beginning graduate courses, with only a background in integral calculus required (computer programming is not a prerequisite). Includes a survey of image processing theory, covering techniques such as scene segmentation, Hough transforms, least squares, Eigenvector line fitting, and Fourier transforms. Other aspects of pattern recognition presented include probability theory, statistical decision-making, nonparametric decision- making, hierarchical and partitional clustering, and artificial neural networks. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Book Details

Published
January 28, 1996
Publisher
Upper Saddle River, NJ : Prentice Hall PTR, c1996.
Pages
480
Format
Hardcover
ISBN
9780132364157

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