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Synopsis
This book specifies about glaucomatous image classification using texture features within images and it will be classified effectively based on feature ranking and neural network. In addition with, an efficient detection of exudates for retinal vasculature disorder analysis performed. It plays important roles in detection of some diseases in early stages, such as diabetes, which can be performed by comparison of the states of retinal blood vessels. The Energy distributions over wavelet sub bands are applied to find these important texture features. It uses a technique to extract energy signatures obtained using 2-D discrete wavelet transform, and subject these signatures to different feature ranking and feature selection strategies. This performance will be done by artificial neural network model. The exudates are also detected effectively from the retina fundus image using segmentation algorithms. Finally the segmented defect region will be post processed by morphological processing technique for smoothing operation.
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Retinal Image Analysis using Neural Networks and Clustering Algorithms
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Scholars' Press Sep 2018, 2018
ISBN 10: 6202302534
ISBN 13: 9786202302531
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book specifies about glaucomatous image classification using texture features within images and it will be classified effectively based on feature ranking and neural network. In addition with, an efficient detection of exudates for retinal vasculature disorder analysis performed. It plays important roles in detection of some diseases in early stages, such as diabetes, which can be performed by comparison of the states of retinal blood vessels. The Energy distributions over wavelet sub bands are applied to find these important texture features. It uses a technique to extract energy signatures obtained using 2-D discrete wavelet transform, and subject these signatures to different feature ranking and feature selection strategies. This performance will be done by artificial neural network model. The exudates are also detected effectively from the retina fundus image using segmentation algorithms. Finally the segmented defect region will be post processed by morphological processing technique for smoothing operation. 76 pp. Englisch. Seller Inventory # 9786202302531
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Retinal Image Analysis using Neural Networks and Clustering Algorithms
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Retinal Image Analysis using Neural Networks and Clustering Algorithms
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Retinal Image Analysis using Neural Networks and Clustering Algorithms
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Retinal Image Analysis using Neural Networks and Clustering Algorithms
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ISBN 10: 6202302534
ISBN 13: 9786202302531
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Easwaran UdayakumarMr.E.Udayakumar currently working as Assistant Professor/ECE at KIT-Kalaignarkarunanidhi Institute of Technology, Coimbatore, Tamilnadu. He Perusing his PhD at Anna University, Chennai. He had published 30 Papers . Seller Inventory # 497402841
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Retinal Image Analysis using Neural Networks and Clustering Algorithms
Published by
Scholars' Press Sep 2018, 2018
ISBN 10: 6202302534
ISBN 13: 9786202302531
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book specifies about glaucomatous image classification using texture features within images and it will be classified effectively based on feature ranking and neural network. In addition with, an efficient detection of exudates for retinal vasculature disorder analysis performed. It plays important roles in detection of some diseases in early stages, such as diabetes, which can be performed by comparison of the states of retinal blood vessels. The Energy distributions over wavelet sub bands are applied to find these important texture features. It uses a technique to extract energy signatures obtained using 2-D discrete wavelet transform, and subject these signatures to different feature ranking and feature selection strategies. This performance will be done by artificial neural network model. The exudates are also detected effectively from the retina fundus image using segmentation algorithms. Finally the segmented defect region will be post processed by morphological processing technique for smoothing operation.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch. Seller Inventory # 9786202302531
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Retinal Image Analysis using Neural Networks and Clustering Algorithms
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book specifies about glaucomatous image classification using texture features within images and it will be classified effectively based on feature ranking and neural network. In addition with, an efficient detection of exudates for retinal vasculature disorder analysis performed. It plays important roles in detection of some diseases in early stages, such as diabetes, which can be performed by comparison of the states of retinal blood vessels. The Energy distributions over wavelet sub bands are applied to find these important texture features. It uses a technique to extract energy signatures obtained using 2-D discrete wavelet transform, and subject these signatures to different feature ranking and feature selection strategies. This performance will be done by artificial neural network model. The exudates are also detected effectively from the retina fundus image using segmentation algorithms. Finally the segmented defect region will be post processed by morphological processing technique for smoothing operation. Seller Inventory # 9786202302531
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Retinal Image Analysis using Neural Networks and Clustering Algorithms
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Taschenbuch. Condition: Neu. Retinal Image Analysis using Neural Networks and Clustering Algorithms | Udayakumar Easwaran (u. a.) | Taschenbuch | 76 S. | Englisch | 2018 | Scholars' Press | EAN 9786202302531 | Verantwortliche Person für die EU: Scholars Press, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 114695057