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Multi Swarm Optimization Methodology for Classification of Images: Classification of Images - Softcover
Inhaltsangabe
Machine recognition by human beings from still and video images has become a very important and vigorous area of research in the communities of image processing, pattern recognition, neural networks and computer vision. Image recognition is one of the most extraordinary abilities of human vision. The core and central part of the image research is classification and extracting. Although image recognition by human beings and computer machines are developed, it is still challenging to design an automatic system for the given task. The reason is that illumination, complex background, visual angle and variation expression for images are highly variable in the real world. Several techniques have been proposed for image detection including graph matching, neural networks and geometric features. Even though researchers of Psychology, Neural Sciences, Engineering, Image Processing and Computer Vision have investigated a number of issues related to image recognition by human beings and machines, still there is need to design an automatic system for this task, especially when real-time identification is required.
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Über die Autorin bzw. den Autor
Dr G. Shyama Chandra Prasad - B.Tech. (CSE), M.Tech.(CS), Ph.D. Associate Professor, is working as Associate Professor in Matrusri Engineering College, Hyderabad, India. He served and held several Academic and Administrative positions including Head of the Department Incharge computational resources, Incharge Examination Branch.
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Multi Swarm Optimization Methodology for Classification of Images
Verlag:
LAP LAMBERT Academic Publishing Aug 2019, 2019
ISBN 10: 6200277532
ISBN 13: 9786200277534
Neu
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Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Machine recognition by human beings from still and video images has become a very important and vigorous area of research in the communities of image processing, pattern recognition, neural networks and computer vision. Image recognition is one of the most extraordinary abilities of human vision. The core and central part of the image research is classification and extracting. Although image recognition by human beings and computer machines are developed, it is still challenging to design an automatic system for the given task. The reason is that illumination, complex background, visual angle and variation expression for images are highly variable in the real world. Several techniques have been proposed for image detection including graph matching, neural networks and geometric features. Even though researchers of Psychology, Neural Sciences, Engineering, Image Processing and Computer Vision have investigated a number of issues related to image recognition by human beings and machines, still there is need to design an automatic system for this task, especially when real-time identification is required. 52 pp. Englisch. Bestandsnummer des Verkäufers 9786200277534
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Multi Swarm Optimization Methodology for Classification of Images: Classification of Images
Verlag:
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200277532
ISBN 13: 9786200277534
Neu
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Paperback. Zustand: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock. Bestandsnummer des Verkäufers zk6200277532
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Multi Swarm Optimization Methodology for Classification of Images
Verlag:
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200277532
ISBN 13: 9786200277534
Neu
Softcover
Anbieter: moluna, Greven, Deutschland
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chandra Prasad G. ShyamaDr G. Shyama Chandra Prasad - B.Tech. (CSE), M.Tech.(CS), Ph.D. Associate Professor, is working as Associate Professor in Matrusri Engineering College, Hyderabad, India. He served and held several Academic and. Bestandsnummer des Verkäufers 385887033
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Multi Swarm Optimization Methodology for Classification of Images
Verlag:
LAP LAMBERT Academic Publishing Aug 2019, 2019
ISBN 10: 6200277532
ISBN 13: 9786200277534
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Machine recognition by human beings from still and video images has become a very important and vigorous area of research in the communities of image processing, pattern recognition, neural networks and computer vision. Image recognition is one of the most extraordinary abilities of human vision. The core and central part of the image research is classification and extracting. Although image recognition by human beings and computer machines are developed, it is still challenging to design an automatic system for the given task. The reason is that illumination, complex background, visual angle and variation expression for images are highly variable in the real world. Several techniques have been proposed for image detection including graph matching, neural networks and geometric features. Even though researchers of Psychology, Neural Sciences, Engineering, Image Processing and Computer Vision have investigated a number of issues related to image recognition by human beings and machines, still there is need to design an automatic system for this task, especially when real-time identification is required.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. Bestandsnummer des Verkäufers 9786200277534
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Multi Swarm Optimization Methodology for Classification of Images : Classification of Images
Verlag:
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200277532
ISBN 13: 9786200277534
Neu
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Machine recognition by human beings from still and video images has become a very important and vigorous area of research in the communities of image processing, pattern recognition, neural networks and computer vision. Image recognition is one of the most extraordinary abilities of human vision. The core and central part of the image research is classification and extracting. Although image recognition by human beings and computer machines are developed, it is still challenging to design an automatic system for the given task. The reason is that illumination, complex background, visual angle and variation expression for images are highly variable in the real world. Several techniques have been proposed for image detection including graph matching, neural networks and geometric features. Even though researchers of Psychology, Neural Sciences, Engineering, Image Processing and Computer Vision have investigated a number of issues related to image recognition by human beings and machines, still there is need to design an automatic system for this task, especially when real-time identification is required. Bestandsnummer des Verkäufers 9786200277534
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Multi Swarm Optimization Methodology for Classification of Images | Classification of Images
Verlag:
LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200277532
ISBN 13: 9786200277534
Neu
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Anbieter: preigu, Osnabrück, Deutschland
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Taschenbuch. Zustand: Neu. Multi Swarm Optimization Methodology for Classification of Images | Classification of Images | G. Shyama Chandra Prasad | Taschenbuch | 52 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200277534 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 117255865
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