Analysis of variance in statistical image processing by Ludwik Kurz, M. Hafed Benteftifa

Analysis of variance in statistical image processing



Download Analysis of variance in statistical image processing




Analysis of variance in statistical image processing Ludwik Kurz, M. Hafed Benteftifa
Language: English
Page: 220
Format: djvu
ISBN: 0521581826, 9780521581820
Publisher: CUP

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.

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.

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