Analysis Of Variance In Statistical Image Processing

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Analysis of Variance in Statistical Image Processing

Analysis of Variance in Statistical Image Processing
Author :
Publisher : Cambridge University Press
Total Pages : 228
Release :
ISBN-10 : 9780521581820
ISBN-13 : 0521581826
Rating : 4/5 (826 Downloads)

Book Synopsis Analysis of Variance in Statistical Image Processing by : Ludwik Kurz

Download or read book Analysis of Variance in Statistical Image Processing written by Ludwik Kurz and published by Cambridge University Press. This book was released on 1997-04-13 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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