Analysis of Variance in Statistical Image Processing

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Cambridge University Press, Nov 23, 2006 - Computers - 228 pages
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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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Contents

1 Introduction
1
2 Statistical linear models
7
3 Line detection
35
4 Edge detection
66
5 Object detection
90
6 Image segmentation
128
7 Radial masks in line and edge detection
147
8 Performance analysis
156
9 Some approaches to image restoration
181
References
197
Index
202
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