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 : 0521031966
ISBN-13 : 9780521031967
Rating : 4/5 (967 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 2006-11-23 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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