Sinossi
A detailed account of the techniques and applications of analysis of variance techniques in statistical image processing.
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Descrizione del libro
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.
Contenuti
Preface; 1. Introduction; 2. Statistical linear models; 3. Line detection; 4. Edge detection; 5. Object detection; 6. Image segmentation; 7. Radial masks in line and edge detection; 8. Performance analysis; 9. Some approaches to image restoration; References; Index.
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Anal of Variance Image Processing
Editore:
Cambridge University Press, 2006
ISBN 10: 0521031966
ISBN 13: 9780521031967
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Analysis of Variance in Statistical Image Processing
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Analysis of Variance in Statistical Image Processing (Paperback)
Editore:
Cambridge University Press, Cambridge, 2006
ISBN 10: 0521031966
ISBN 13: 9780521031967
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Paperback. Condizione: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780521031967
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Anal of Variance Image Processing
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ISBN 10: 0521031966
ISBN 13: 9780521031967
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Analysis of Variance in Statistical Image Processing
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Analysis of Variance in Statistical Image Processing
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ISBN 10: 0521031966
ISBN 13: 9780521031967
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Analysis of Variance in Statistical Image Processing (Paperback)
Editore:
Cambridge University Press, Cambridge, 2006
ISBN 10: 0521031966
ISBN 13: 9780521031967
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Paperback. Condizione: new. Paperback. 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. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9780521031967
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