Analysis of Variance in Statistical Image Processing
$38.99 ( ) USD
- Authors:
- Ludwik Kurz, Polytechnic University, New York
- M. Hafed Benteftifa, Polytechnic University, New York
- Date Published: March 2011
- availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
- format: Adobe eBook Reader
- isbn: 9780511823251
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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.
Read more- Shows how to deal with real, noisy images
- Provides efficient algorithms which can be used as the starting point for tackling new problems
- Can be used as a textbook for a graduate course
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×Product details
- Date Published: March 2011
- format: Adobe eBook Reader
- isbn: 9780511823251
- contains: 81 b/w illus. 5 tables
- availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
Table of Contents
Preface
1. Introduction
2. Statistical linear models
3. Line detection
4. Edge detection
5. Object detection
6. Image segmentation
7. Radial masks in line and edge detection
8. Performance analysis
9. Some approaches to image restoration
References
Index.
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