Analysis of Variance in Statistical Image Processing

By: Ludwik Kurz, M. Hafed Benteftifa

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Paperback | 23 November 2006

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228 Pages

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14.3 x 16.8 x 1.2

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A key problem in practical image processing is the detection of specific features in a noisy image. Analysis of variance (ANOVA) techniques can be very effective in such situations, and this book gives a detailed account of the use of ANOVA in statistical image processing. The book begins by describing the statistical representation of images in the various ANOVA models. The authors present a number of computationally efficient algorithms and techniques to deal with such problems as line, edge, and object detection, as well as image restoration and enhancement. By describing the basic principles of these techniques, and showing their use in specific situations, the book will facilitate the design of new algorithms for particular applications. It will be of great interest to graduate students and engineers in the field of image processing and pattern recognition.

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Image Processing Mathematics Probability & Statistics Digital Signal Processing (DSP)Engineering & Technology Electronics & Communications Engineering Communications Engineering & Telecommunications Other Technologies & Applied Sciences Applied Optics

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Hardcover

Published: 8th September 1997

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Preface
Introduction
Statistical linear models
Line detection
Edge detection
Object detection
Image segmentation
Radial masks in line and edge detection
Performance analysis
Some approaches to image restoration
References
Index
Table of Contents provided by Publisher. All Rights Reserved.

Analysis of Variance in Statistical Image Processing

At a Glance

Paperback

Shipping

How to return your order

Defective items

You Can Find This Book In

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