Artificial Neural Networks Applied For Digital Images with Matlab Code | The Applications of Artificial Intelligence In Image Processing Field Using Matlab
Muhammad Atta Othman A. Khfagy
ISBN 10: 3659538175 ISBN 13: 9783659538179
Published by LAP LAMBERT Academic Publishing, 2014
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Artificial Neural Networks Applied For Digital Images with Matlab Code | The Applications of Artificial Intelligence In Image Processing Field Using Matlab | Muhammad Atta Othman A. Khfagy | Taschenbuch | 152 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659538179 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu. Seller Inventory # 105170598
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Artificial Neural Networks have broad applications to the real world business problems. They have already been successfully applied in many industries. Since neural networks are best at identifying patterns or trends in data, they are well suited for prediction or forecasting. These include Sales forecasting, Industrial process control, Customer research, Data validation, Risk management, Target marketing. The work studies the use of Artificial Neural Network in the field of Image Processing. One of the applications studied is the edge detection process. Edge detection of an image significantly reduces the amount of data and filters out useless information, while preserving the important structural properties in an image. Edges detection of digital images is used in a various fields of applications ranging from real-time video surveillance and traffic management to medical imaging applications. The work demonstrates both entropy and Neural Network based edge detection methods, where Renyi’s Entropy and Convolutional Neural Network based edge detection is proposed and their results are compared.
About the Author: Dr. Muhammad A. Khfagy was born in 14 March 1985 in Sohag - Egypt. He received Bachelor of Science in Computer Science in 2006,Received Master in Science Major Computer Science 2013. He is interested in Machine Learning and Artificial Intelligence utilization and Applications in most of research fields.©Muhammad A.Khfag
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Title: Artificial Neural Networks Applied For ...
Publisher: LAP LAMBERT Academic Publishing
Publication Date: 2014
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Othman A. Khfagy Muhammad AttaDr. Muhammad A. Khfagy was born in 14 March 1985 in Sohag - Egypt. He received Bachelor of Science in Computer Science in 2006,Received Master in Science Major Computer Science 2013. He is interested in . Seller Inventory # 5163283
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial Neural Networks have broad applications to the real world business problems. They have already been successfully applied in many industries. Since neural networks are best at identifying patterns or trends in data, they are well suited for prediction or forecasting. These include Sales forecasting, Industrial process control, Customer research, Data validation, Risk management, Target marketing. The work studies the use of Artificial Neural Network in the field of Image Processing. One of the applications studied is the edge detection process. Edge detection of an image significantly reduces the amount of data and filters out useless information, while preserving the important structural properties in an image. Edges detection of digital images is used in a various fields of applications ranging from real-time video surveillance and traffic management to medical imaging applications. The work demonstrates both entropy and Neural Network based edge detection methods, where Renyi s Entropy and Convolutional Neural Network based edge detection is proposed and their results are compared. Seller Inventory # 9783659538179
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Artificial Neural Networks have broad applications to the real world business problems. They have already been successfully applied in many industries. Since neural networks are best at identifying patterns or trends in data, they are well suited for prediction or forecasting. These include Sales forecasting, Industrial process control, Customer research, Data validation, Risk management, Target marketing. The work studies the use of Artificial Neural Network in the field of Image Processing. One of the applications studied is the edge detection process. Edge detection of an image significantly reduces the amount of data and filters out useless information, while preserving the important structural properties in an image. Edges detection of digital images is used in a various fields of applications ranging from real-time video surveillance and traffic management to medical imaging applications. The work demonstrates both entropy and Neural Network based edge detection methods, where Renyi's Entropy and Convolutional Neural Network based edge detection is proposed and their results are compared.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 152 pp. Englisch. Seller Inventory # 9783659538179
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Artificial Neural Networks have broad applications to the real world business problems. They have already been successfully applied in many industries. Since neural networks are best at identifying patterns or trends in data, they are well suited for prediction or forecasting. These include Sales forecasting, Industrial process control, Customer research, Data validation, Risk management, Target marketing. The work studies the use of Artificial Neural Network in the field of Image Processing. One of the applications studied is the edge detection process. Edge detection of an image significantly reduces the amount of data and filters out useless information, while preserving the important structural properties in an image. Edges detection of digital images is used in a various fields of applications ranging from real-time video surveillance and traffic management to medical imaging applications. The work demonstrates both entropy and Neural Network based edge detection methods, where Renyi s Entropy and Convolutional Neural Network based edge detection is proposed and their results are compared. 152 pp. Englisch. Seller Inventory # 9783659538179
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