Synopsis
Edges detection of digital images is used in a various fields of applications ranging from real-time video surveillance and traffic management to Synthetic Aperture Radar (SAR) imaging applications. It can be used in many applications such as segmentation, registration, feature extraction, and identification of objects in a scene. This book deals with the different types of applications of edge detection in real life. It presents a brief study of the fundamental concepts of the edge detection operation, and theories behind different edge detectors. Edge detection models based on first and second order derivatives are presented. Previous works on edge detection models are reviewed and simulated in Matlab. It shows an initial exploration of the effectiveness of using Convolutional Neural Networks (CNNs) for this task. CNNs exploit spatially local correlation by enforcing a local connectivity pattern between neurons of adjacent layers. These techniques are object-independent so that the proposed method can be applied to other types of image processing such as classification and segmentation.
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Neural Network And Entropy Algorithms For Edge Detection In SAR Images
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LAP LAMBERT Academic Publishing Jul 2016, 2016
ISBN 10 : 3659926698
ISBN 13 : 9783659926693
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Edges detection of digital images is used in a various fields of applications ranging from real-time video surveillance and traffic management to Synthetic Aperture Radar (SAR) imaging applications. It can be used in many applications such as segmentation, registration, feature extraction, and identification of objects in a scene. This book deals with the different types of applications of edge detection in real life. It presents a brief study of the fundamental concepts of the edge detection operation, and theories behind different edge detectors. Edge detection models based on first and second order derivatives are presented. Previous works on edge detection models are reviewed and simulated in Matlab. It shows an initial exploration of the effectiveness of using Convolutional Neural Networks (CNNs) for this task. CNNs exploit spatially local correlation by enforcing a local connectivity pattern between neurons of adjacent layers. These techniques are object-independent so that the proposed method can be applied to other types of image processing such as classification and segmentation. 136 pp. Englisch. N° de réf. du vendeur 9783659926693
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Neural Network And Entropy Algorithms For Edge Detection In SAR Images
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LAP LAMBERT Academic Publishing, 2016
ISBN 10 : 3659926698
ISBN 13 : 9783659926693
Neuf
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: El-Sayed Mohamed A.Dr. Mohamed A. El-Sayed has obtained his PhD degree in Computer Science in 2007. His research interests include image processing. He is the author of several books and articles published in reputed journals and is. N° de réf. du vendeur 158248975
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Neural Network And Entropy Algorithms For Edge Detection In SAR Images
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LAP LAMBERT Academic Publishing, 2016
ISBN 10 : 3659926698
ISBN 13 : 9783659926693
Neuf
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Paperback. Etat : Brand New. 136 pages. 8.66x5.91x0.31 inches. In Stock. N° de réf. du vendeur 3659926698
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Neural Network And Entropy Algorithms For Edge Detection In SAR Images
Edité par
LAP LAMBERT Academic Publishing Jul 2016, 2016
ISBN 10 : 3659926698
ISBN 13 : 9783659926693
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Edges detection of digital images is used in a various fields of applications ranging from real-time video surveillance and traffic management to Synthetic Aperture Radar (SAR) imaging applications. It can be used in many applications such as segmentation, registration, feature extraction, and identification of objects in a scene. This book deals with the different types of applications of edge detection in real life. It presents a brief study of the fundamental concepts of the edge detection operation, and theories behind different edge detectors. Edge detection models based on first and second order derivatives are presented. Previous works on edge detection models are reviewed and simulated in Matlab. It shows an initial exploration of the effectiveness of using Convolutional Neural Networks (CNNs) for this task. CNNs exploit spatially local correlation by enforcing a local connectivity pattern between neurons of adjacent layers. These techniques are object-independent so that the proposed method can be applied to other types of image processing such as classification and segmentation.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 136 pp. Englisch. N° de réf. du vendeur 9783659926693
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Neural Network And Entropy Algorithms For Edge Detection In SAR Images
Edité par
LAP LAMBERT Academic Publishing, 2016
ISBN 10 : 3659926698
ISBN 13 : 9783659926693
Neuf
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Edges detection of digital images is used in a various fields of applications ranging from real-time video surveillance and traffic management to Synthetic Aperture Radar (SAR) imaging applications. It can be used in many applications such as segmentation, registration, feature extraction, and identification of objects in a scene. This book deals with the different types of applications of edge detection in real life. It presents a brief study of the fundamental concepts of the edge detection operation, and theories behind different edge detectors. Edge detection models based on first and second order derivatives are presented. Previous works on edge detection models are reviewed and simulated in Matlab. It shows an initial exploration of the effectiveness of using Convolutional Neural Networks (CNNs) for this task. CNNs exploit spatially local correlation by enforcing a local connectivity pattern between neurons of adjacent layers. These techniques are object-independent so that the proposed method can be applied to other types of image processing such as classification and segmentation. N° de réf. du vendeur 9783659926693
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Neural Network And Entropy Algorithms For Edge Detection In SAR Images
Edité par
LAP LAMBERT Academic Publishing, 2016
ISBN 10 : 3659926698
ISBN 13 : 9783659926693
Neuf
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Taschenbuch. Etat : Neu. Neural Network And Entropy Algorithms For Edge Detection In SAR Images | Mohamed A. El-Sayed (u. a.) | Taschenbuch | 136 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659926693 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 103480430
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