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eBay-Artikelnr.:205673492322
Artikelmerkmale
- Artikelzustand
- Pages
- 226
- Publication Date
- 1997-04-13
- ISBN
- 9780521581820
Über dieses Produkt
Product Identifiers
Publisher
Cambridge University Press
ISBN-10
0521581826
ISBN-13
9780521581820
eBay Product ID (ePID)
587166
Product Key Features
Number of Pages
226 Pages
Language
English
Publication Name
Analysis of Variance in Statistical Image Processing
Subject
Image Processing, Probability & Statistics / General, Computer Vision & Pattern Recognition
Publication Year
1997
Type
Textbook
Subject Area
Mathematics, Computers
Format
Hardcover
Dimensions
Item Height
0.5 in
Item Weight
22.4 Oz
Item Length
10.2 in
Item Width
7.3 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
96-022310
Dewey Edition
21
Illustrated
Yes
Dewey Decimal
621.3/67
Table Of Content
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.
Synopsis
A key problem in practical image processing is that of detecting certain 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. A number of computationally efficient algorithms and techniques are then presented, 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., This book describes the basic principles of ANOVA techniques, and provides computationally efficient algorithms to deal with specific problems such as line, edge and object detection, as well as image restoration and enhancement. These algorithms can be used as the starting point for tackling new problems., 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.
LC Classification Number
TA1637 .K87 1997
Artikelbeschreibung des Verkäufers
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