Anal of Variance Image Processing

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9780521031967: Anal of Variance Image Processing
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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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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.

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Ludwik Kurz, M. Hafed Benteftifa
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Book Description CAMBRIDGE UNIVERSITY PRESS, United Kingdom, 2006. Paperback. Condition: New. Language: English . Brand New Book ***** Print on Demand *****.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. Seller Inventory # AAV9780521031967

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Kurz, Ludwik
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Book Description Cambridge University Press, 2016. Paperback. Condition: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Seller Inventory # ria9780521031967_lsuk

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Book Description Cambridge Univ Pr, 2006. Paperback. Condition: Brand New. 210 pages. 9.50x6.75x0.50 inches. In Stock. Seller Inventory # __0521031966

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Ludwik Kurz, M. Hafed Benteftifa
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Book Description CAMBRIDGE UNIVERSITY PRESS, United Kingdom, 2006. Paperback. Condition: New. Language: English . Brand New Book ***** Print on Demand *****. 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. Seller Inventory # AAV9780521031967

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Book Description Cambridge University Press, 2006. PAP. Condition: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # IQ-9780521031967

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LUDWIK KURZ , M. HAFED BENTEFTIFA
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Book Description 2006. Paperback. Condition: NEW. 9780521031967 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. For all enquiries, please contact Herb Tandree Philosophy Books directly - customer service is our primary goal. Seller Inventory # HTANDREE0441970

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Book Description Cambridge University Press. Paperback. Condition: New. 228 pages. Dimensions: 9.4in. x 6.7in. x 0.7in.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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Seller Inventory # 9780521031967

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Book Description Cambridge University Press, 2006. PAP. Condition: New. New Book. Delivered from our UK warehouse in 3 to 5 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # LQ-9780521031967

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Book Description Spain: Cambridge Univ Pr, 2006. Soft cover. Condition: New. Ship out 1-2 business day,Brand new,US edition, Free tracking number usually 2-4 biz days delivery to worldwide Same shipping fee with US, Canada,Europe country, Australia, item will ship out from either LA or Asia,ht. Seller Inventory # ABE-7305702406

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Book Description Cambridge University Press, 2006. Paperback. Condition: New. Seller Inventory # DADAX0521031966

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