Items related to Analysis of Variance in Statistical Image Processing
Synopsis
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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Book Description
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 the use of ANOVA in statistical image processing. By describing the basic principles of these techniques, and showing their use in specific situations, it will facilitate the design of new algorithms for particular applications, and will be invaluable to graduate students and engineers in the field of image processing and pattern recognition.
"About this title" may belong to another edition of this title.
- PublisherCambridge University Press
- Publication date2006
- ISBN 10 0521031966
- ISBN 13 9780521031967
- BindingPaperback
- LanguageEnglish
- Number of pages228
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Anal of Variance Image Processing
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Analysis of Variance in Statistical Image Processing (Paperback)
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Paperback. Condition: new. Paperback. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780521031967
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Analysis of Variance in Statistical Image Processing
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