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Analysis of Variance in Statistical Image Processing PDF

224 Pages·2006·11.617 MB·English
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by Ludwik Kurz, M. Hafed Benteftifa| 2006| 224 pages| 11.617| English

About Analysis of Variance in Statistical Image Processing

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.

Detailed Information

Author:Ludwik Kurz, M. Hafed Benteftifa
Publication Year:2006
ISBN:9780521581820
Pages:224
Language:English
File Size:11.617
Format:PDF
Price:FREE
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