Edge detection is an important field in image processing. 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 the different methods of edge detection, such as classical methods, multi-resolution methods, nonlinear methods, wavelet based methods, statistical methods, machine learning based methods, contextual methods, line edge detectors, and coloured edges methods. In addition, it presents various techniques of different authors such as Pun, Kapur, Li, Shanbag, Sahoo, Yen, and Pal. In this way, it presents the modified algorithm of Baljit and Amar algorithm. It has been observed that the proposed edge detector works effectively for different gray scale digital images. The results of this study were quite promising. In addition, it introduces new proposed algorithm of edge detection based on split/merge technique. It is decrease the computation time with generate high quality of edge detection. From the results; it works well as compare to the previous classical methods.
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Kartoniert / Broschiert. Zustand: 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 articles published in reputed journals and is a member . Bestandsnummer des Verkäufers 5135684
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Edge detection is an important field in image processing. 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 the different methods of edge detection, such as classical methods, multi-resolution methods, nonlinear methods, wavelet based methods, statistical methods, machine learning based methods, contextual methods, line edge detectors, and coloured edges methods. In addition, it presents various techniques of different authors such as Pun, Kapur, Li, Shanbag, Sahoo, Yen, and Pal. In this way, it presents the modified algorithm of Baljit and Amar algorithm. It has been observed that the proposed edge detector works effectively for different gray scale digital images. The results of this study were quite promising. In addition, it introduces new proposed algorithm of edge detection based on split/merge technique. It is decrease the computation time with generate high quality of edge detection. From the results; it works well as compare to the previous classical methods. Bestandsnummer des Verkäufers 9783659157080
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Taschenbuch. Zustand: Neu. Edges Detection of Images | Algorithms of Edges Detection for Digital Image | Mohamed A. El-Sayed | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659157080 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 106392386
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