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Condition: As New. Unread book in perfect condition.
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Design of Wavelets and Filter Banks: New Methods and Application to Chromosome Image Compression
Language: English
Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6138387791 ISBN 13: 9786138387794
Condition: New.
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Iris Image Recognition: Wavelet Filter-banks Based Iris Feature Extraction Schemes (SpringerBriefs in Signal Processing)
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Condition: New. pp. xiii + 84.
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Iris Image Recognition : Wavelet Filter-Banks Based Iris Feature Extraction Schemes
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Iris Image Recognition : Wavelet Filter-Banks Based Iris Feature Extraction Schemes
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: As New. Unread book in perfect condition.
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Paperback. Condition: Brand New. 2014 edition. 84 pages. 9.00x6.00x0.25 inches. In Stock.
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Taschenbuch. Condition: Neu. Iris Image Recognition | Wavelet Filter-banks Based Iris Feature Extraction Schemes | Amol D. Rahulkar (u. a.) | Taschenbuch | SpringerBriefs in Electrical and Computer Engineering | xiii | Englisch | 2014 | Springer | EAN 9783319067667 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Feature Extraction in Medical Image Retrieval: A New Design of Wavelet Filter Banks
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Feature Extraction in Medical Image Retrieval : A New Design of Wavelet Filter Banks
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 136.78
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Feature Extraction in Medical Image Retrieval : A New Design of Wavelet Filter Banks
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: New. 2024th edition NO-PA16APR2015-KAP.
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Feature Extraction in Medical Image Retrieval : A New Design of Wavelet Filter Banks
Language: English
Published by Springer Nature Switzerland, 2024
ISBN 10: 3031572785 ISBN 13: 9783031572784
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Medical imaging is fundamental to modern healthcare, and its widespread use has resulted in creation of image databases. These repositories contain images from a diverse range of modalities, multidimensional as well as co-aligned multimodality images. These image collections offer opportunity for evidence-based diagnosis, teaching, and research. Advances in medical image analysis over last two decades shows there are now many algorithms and ideas available that allow to address medical image analysis tasks in commercial solutions with sufficient performance in terms of accuracy, reliability and speed. Content-based image retrieval (CBIR) is an image search technique that complements the conventional text-based retrieval of images by using visual features, such as color, texture, and shape, as search criteria. This book emphasizes the design of wavelet filter-banks as efficient and effective feature descriptors for medical image retrieval.Firstly, a generalized novel design of a family of multiplier-free orthogonal wavelet filter-banks is presented. In this, the dyadic filter coefficients are obtained based on double-shifting orthogonality property with allowable deviation from original filter coefficients. Next, a low complex symmetric Daub-4 orthogonal wavelet filter-bank is presented. This is achieved by slightly altering the perfect reconstruction condition to make designed filter-bank symmetric and to obtain dyadic filter coefficients. In third contribution, the first dyadic Gabor wavelet filter-bank is presented based on slight alteration in orientation parameter without disturbing remaining Gabor wavelet parameters. In addition, a novel feature descriptor based on the design of adaptive Gabor wavelet filter-bank is presented. The use of Maximum likelihood estimation is suggested to measure the similarity between the feature vectors of heterogeneous medical images. The performance of the suggested methods is evaluated on three different publicly available databases namely NEMA, OASIS and EXACT09. The performance in terms of average retrieval precision, average retrieval recall and computational time are compared with well-known existing methods.
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Feature Extraction in Medical Image Retrieval: A New Design of Wavelet Filter Banks
Language: English
Published by Springer-Nature New York Inc, 2024
ISBN 10: 3031572785 ISBN 13: 9783031572784
Hardcover. Condition: Brand New. 170 pages. 9.25x6.10x9.21 inches. In Stock.
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Condition: new. Questo è un articolo print on demand.
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Design of Wavelets and Filter Banks: New Methods and Application to Chromosome Image Compression
Language: English
Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6138387791 ISBN 13: 9786138387794
Condition: New. Print on Demand.
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Design of Wavelets and Filter Banks: New Methods and Application to Chromosome Image Compression
Language: English
Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6138387791 ISBN 13: 9786138387794
Condition: New. PRINT ON DEMAND.
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Condition: New. Print on Demand pp. xiii + 84 33 Illus. (17 Col.).
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Condition: New. PRINT ON DEMAND pp. xiii + 84.
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Design of Wavelets and Filter Banks
Language: English
Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6138387791 ISBN 13: 9786138387794
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gawande JayanandJayanand Gawande received the B.E., M.E. and Ph.D.(Instrumentation Engineering) in 1999, 2003 and 2016 respectively.He is presently working as Professor in Instrumentation Engineering at Ramrao Adik Institute of Techn.
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Iris Image Recognition
Language: English
Published by Springer International Publishing, 2014
ISBN 10: 3319067664 ISBN 13: 9783319067667
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Brings together new results in wavelet filter-banks based feature extractionOffers a compilation of basic material on the design of wavelets that otherwise requires the reading many different books and other sourcesProvides an easy path for.
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Iris Image Recognition
Language: English
Published by Springer, Springer Mai 2014, 2014
ISBN 10: 3319067664 ISBN 13: 9783319067667
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides the new results in wavelet filter banks based feature extraction, and the classifier in the field of iris image recognition. It provides the broad treatment on the design of separable, non-separable wavelets filter banks, and the classifier. The design techniques presented in the book are applied on iris image analysis for person authentication. This book also brings together the three strands of research (wavelets, iris image analysis and classifier). It compares the performance of the presented techniques with state-of-the-art available schemes. This book contains the compilation of basic material on the design of wavelets that avoids reading many different books. Therefore, it provides an easier path for the new-comers, researchers to master the contents. In addition, the designed filter banks and classifier can also be effectively used than existing filter-banks in many signal processing applications like pattern classification, data-compression, watermarking, denoising etc. that will give the new directions of the research in the relevant field for the readers.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 100 pp. Englisch.
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Feature Extraction in Medical Image Retrieval
Language: English
Published by Springer, Berlin|Springer Nature Switzerland|Springer, 2024
ISBN 10: 3031572785 ISBN 13: 9783031572784
Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Medical imaging is fundamental to modern healthcare, and its widespread use has resulted in creation of image databases. These repositories contain images from a diverse range of modalities, multidimensional as well as co-aligned multimodality images. These.
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Condition: New. PRINT ON DEMAND.
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Condition: New. Print on Demand.
