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Introduction to Wavelets and Principal Components Analysis: with Applications in Mammography and Image Query - Tapa blanda
Sinopsis
Wavelet analysis found to have a variety of applications. While other transforms such as the DCT may achieve a better compression ratio, their rule of zeroing small coefficients is applied evenly and globally while in wavelet analysis, the rule of zeroing can be applied locally, preserving small coefficients that account for important minute features (such as in fingerprints). Starting with an introduction to wavelet analysis and some related concepts useful for classification the book provides a coverage of the theory and mathematical foundations of wavelets, the Best Basis, the Joint Best Basis, Principal Component Analysis and the Approximate PCA as well as the application of these tools to derive feature vectors for the classification of mammographic images. This book will be useful as a reference text and will benefit both the audience whose interest is at the conceptual level, as it provides a qualitative description of the underlying ideas of wavelet theory and the audience who is interested also in the theory and mathematical foundations of wavelet analysis and its applications.
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Reseña del editor
Wavelet analysis found to have a variety of applications. While other transforms such as the DCT may achieve a better compression ratio, their rule of zeroing small coefficients is applied evenly and globally while in wavelet analysis, the rule of zeroing can be applied locally, preserving small coefficients that account for important minute features (such as in fingerprints). Starting with an introduction to wavelet analysis and some related concepts useful for classification the book provides a coverage of the theory and mathematical foundations of wavelets, the Best Basis, the Joint Best Basis, Principal Component Analysis and the Approximate PCA as well as the application of these tools to derive feature vectors for the classification of mammographic images. This book will be useful as a reference text and will benefit both the audience whose interest is at the conceptual level, as it provides a qualitative description of the underlying ideas of wavelet theory and the audience who is interested also in the theory and mathematical foundations of wavelet analysis and its applications.
Biografía del autor
Sol Neeman, received his B.Sc. in EE from the Technion, Israel and his Ph.D. from the University of Rhode Island in Applied Mathematical Sciences. His areas of interests are image and signal processing, artificial intelligen. Currently he is a professor of EE at Johnson and Wales University and a consultant in image processing.
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Introduction to Wavelets and Principal Components Analysis: with Applications in Mammography and Image Query
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VDM Verlag Dr. Müller, 2008
ISBN 10: 3639107284
ISBN 13: 9783639107289
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Introduction to Wavelets and Principal Components Analysis with Applications in Mammography and Image Query
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Introduction to Wavelets and Principal Components Analysis with Applications in Mammography and Image Query
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Introduction to Wavelets and Principal Components Analysis: with Applications in Mammography and Image Query
Publicado por
VDM Verlag Dr. Müller, 2008
ISBN 10: 3639107284
ISBN 13: 9783639107289
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Introduction to Wavelets and Principal Components Analysis: with Applications in Mammography and Image Query
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ISBN 10: 3639107284
ISBN 13: 9783639107289
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Introduction to Wavelets and Principal Components Analysis : with Applications in Mammography and Image Query
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VDM Verlag Dr. Müller, 2008
ISBN 10: 3639107284
ISBN 13: 9783639107289
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Wavelet analysis found to have a variety of applications. While other transforms such as the DCT may achieve a better compression ratio, their rule of zeroing small coefficients is applied evenly and globally while in wavelet analysis, the rule of zeroing can be applied locally, preserving small coefficients that account for important minute features (such as in fingerprints).Starting with an introduction to wavelet analysis and some related concepts useful for classification the book provides a coverage of the theory and mathematical foundations of wavelets, the Best Basis, the Joint Best Basis, Principal Component Analysis and the Approximate PCA as well as the application of these tools to derive feature vectors for the classification of mammographic images.This book will be useful as a reference text and will benefit both the audience whose interest is at the conceptual level, as it provides a qualitative description of the underlying ideas of wavelet theory and the audience who is interested also in the theory and mathematical foundations of wavelet analysis and its applications. Nº de ref. del artículo: 9783639107289
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Introduction to Wavelets and Principal Components Analysis
Publicado por
VDM Verlag Dr. Müller, 2008
ISBN 10: 3639107284
ISBN 13: 9783639107289
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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Wavelet analysis found to have a variety of applications. While other transforms such as the DCT may achieve a better compression ratio, their rule of zeroing small coefficients is applied evenly and globally while in wavelet analysi. Nº de ref. del artículo: 4958069
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Introduction to Wavelets and Principal Components Analysis
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VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2008
ISBN 10: 3639107284
ISBN 13: 9783639107289
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Introduction to Wavelets and Principal Components Analysis
Publicado por
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2008
ISBN 10: 3639107284
ISBN 13: 9783639107289
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Introduction to Wavelets and Principal Components Analysis
Publicado por
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2008
ISBN 10: 3639107284
ISBN 13: 9783639107289
Nuevo
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