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Sinopsis
Statistical Processing Techniques for Noisy Images presents a statistical framework to design algorithms for target detection, tracking, segmentation and classification (identification). Its main goal is to provide the reader with efficient tools for developing algorithms that solve his/her own image processing applications. In particular, such topics as hypothesis test-based detection, fast active contour segmentation and algorithm design for non-conventional imaging systems are comprehensively treated, from theoretical foundations to practical implementations. With a large number of illustrations and practical examples, this book serves as an excellent textbook or reference book for senior or graduate level courses on statistical signal/image processing, as well as a reference for researchers in related fields.
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Statistical Processing Techniques for Noisy Images presents a statistical framework to design algorithms for target detection, tracking, segmentation and classification (identification). Its main goal is to provide the reader with efficient tools for developing algorithms that solve his/her own image processing applications. In particular, such topics as hypothesis test-based detection, fast active contour segmentation and algorithm design for non-conventional imaging systems are comprehensively treated, from theoretical foundations to practical implementations. With a large number of illustrations and practical examples, this book serves as an excellent textbook or reference book for senior or graduate level courses on statistical signal/image processing, as well as a reference for researchers in related fields.
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- EditorialSpringer
- Año de publicación2013
- ISBN 10 1461346924
- ISBN 13 9781461346920
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas272
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Statistical Image Processing Techniques for Noisy Images
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Springer US Nov 2013, 2013
ISBN 10: 1461346924
ISBN 13: 9781461346920
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Statistical Processing Techniques for Noisy Images presents a statistical framework to design algorithms for target detection, tracking, segmentation and classification (identification). Its main goal is to provide the reader with efficient tools for developing algorithms that solve his/her own image processing applications. In particular, such topics as hypothesis test-based detection, fast active contour segmentation and algorithm design for non-conventional imaging systems are comprehensively treated, from theoretical foundations to practical implementations. With a large number of illustrations and practical examples, this book serves as an excellent textbook or reference book for senior or graduate level courses on statistical signal/image processing, as well as a reference for researchers in related fields. 272 pp. Englisch. Nº de ref. del artículo: 9781461346920
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Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach
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Statistical Image Processing Techniques for Noisy Images
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Statistical Processing Techniques for Noisy Images presents a statistical framework to design algorithms for target detection, tracking, segmentation and classification (identification). Its main goal is to provide the reader with efficient. Nº de ref. del artículo: 4192939
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Statistical Image Processing Techniques for Noisy Images : An Application-Oriented Approach
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Statistical Processing Techniques for Noisy Images presents a statistical framework to design algorithms for target detection, tracking, segmentation and classification (identification). Its main goal is to provide the reader with efficient tools for developing algorithms that solve his/her own image processing applications. In particular, such topics as hypothesis test-based detection, fast active contour segmentation and algorithm design for non-conventional imaging systems are comprehensively treated, from theoretical foundations to practical implementations. With a large number of illustrations and practical examples, this book serves as an excellent textbook or reference book for senior or graduate level courses on statistical signal/image processing, as well as a reference for researchers in related fields. Nº de ref. del artículo: 9781461346920
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Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach
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ISBN 10: 1461346924
ISBN 13: 9781461346920
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Statistical Image Processing Techniques for Noisy Images
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Springer US, Springer US Nov 2013, 2013
ISBN 10: 1461346924
ISBN 13: 9781461346920
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Taschenbuch. Condición: Neu. Neuware -Statistical Processing Techniques for Noisy Images presents a statistical framework to design algorithms for target detection, tracking, segmentation and classification (identification). Its main goal is to provide the reader with efficient tools for developing algorithms that solve his/her own image processing applications. In particular, such topics as hypothesis test-based detection, fast active contour segmentation and algorithm design for non-conventional imaging systems are comprehensively treated, from theoretical foundations to practical implementations. With a large number of illustrations and practical examples, this book serves as an excellent textbook or reference book for senior or graduate level courses on statistical signal/image processing, as well as a reference for researchers in related fields.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 272 pp. Englisch. Nº de ref. del artículo: 9781461346920
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Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach
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Statistical Image Processing Techniques for Noisy Images
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Statistical Image Processing Techniques for Noisy Images
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Condición: New. PRINT ON DEMAND pp. 272. Nº de ref. del artículo: 18128018431
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