Inhaltsangabe
The book aims to provide an understanding on how to segment the images based on active contour based model. Interactive image segmentation algorithms are sensitive to the user inputs and are often unable to produce an accurate boundary with a small amount of user interaction. They frequently rely on laborious user editing to refine the segmentation boundary. The Gaussian Mixture Model method for image segmentation exhibits many desirable properties of an effective interactive image segmentation algorithm, including robustness to user inputs and different initializations, the ability to produce a smooth and accurate boundary contour, and the ability to handle topology changes, it fails to handle semi-transparent images.The aim of this work is to extract sharp and steep images by handling semi-transparent images. An edge based active contour model has been proposed in which the image edge is extracted smoothly with the Greedy algorithm. Additionally Distance Regularized Level set Evolution algorithm has also been used to handle the very steep contour of the images. I personally thank my god, colleagues and parents for their encouragement and support for the publication.
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Über die Autorin bzw. den Autor
Hi, I am Ramya Dhandapani working as Assistant Professor in Tamilnadu, India. I am Passionate, self-motivated and committed. I focus to inculcate the pulse of growing demands in the Industry by conglomerating the students to encounter it. I am very keen in the field of Research and Programming. Thanks to God and my Parents
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Edge based Active Contour Model for Semi-transparent Images
Verlag:
LAP LAMBERT Academic Publishing Jul 2018, 2018
ISBN 10: 613988991X
ISBN 13: 9786139889914
Neu
Taschenbuch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book aims to provide an understanding on how to segment the images based on active contour based model. Interactive image segmentation algorithms are sensitive to the user inputs and are often unable to produce an accurate boundary with a small amount of user interaction. They frequently rely on laborious user editing to refine the segmentation boundary. The Gaussian Mixture Model method for image segmentation exhibits many desirable properties of an effective interactive image segmentation algorithm, including robustness to user inputs and different initializations, the ability to produce a smooth and accurate boundary contour, and the ability to handle topology changes, it fails to handle semi-transparent images.The aim of this work is to extract sharp and steep images by handling semi-transparent images. An edge based active contour model has been proposed in which the image edge is extracted smoothly with the Greedy algorithm. Additionally Distance Regularized Level set Evolution algorithm has also been used to handle the very steep contour of the images. I personally thank my god, colleagues and parents for their encouragement and support for the publication. 76 pp. Englisch. Bestandsnummer des Verkäufers 9786139889914
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EUR 39,90
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Edge based Active Contour Model for Semi-transparent Images
Verlag:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 613988991X
ISBN 13: 9786139889914
Neu
Paperback
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Paperback. Zustand: Brand New. 76 pages. 8.66x5.91x0.18 inches. In Stock. Bestandsnummer des Verkäufers zk613988991X
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Edge based Active Contour Model for Semi-transparent Images
Verlag:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 613988991X
ISBN 13: 9786139889914
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: Dhandapani RamyaHi, I am Ramya Dhandapani working as Assistant Professor in Tamilnadu, India. I am Passionate, self-motivated and committed. I focus to inculcate the pulse of growing demands in the Industry by conglomerating the stud. Bestandsnummer des Verkäufers 385876034
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Foto des Verkäufers
Edge based Active Contour Model for Semi-transparent Images
Verlag:
LAP LAMBERT Academic Publishing Jul 2018, 2018
ISBN 10: 613988991X
ISBN 13: 9786139889914
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 -The book aims to provide an understanding on how to segment the images based on active contour based model. Interactive image segmentation algorithms are sensitive to the user inputs and are often unable to produce an accurate boundary with a small amount of user interaction. They frequently rely on laborious user editing to refine the segmentation boundary. The Gaussian Mixture Model method for image segmentation exhibits many desirable properties of an effective interactive image segmentation algorithm, including robustness to user inputs and different initializations, the ability to produce a smooth and accurate boundary contour, and the ability to handle topology changes, it fails to handle semi-transparent images.The aim of this work is to extract sharp and steep images by handling semi-transparent images. An edge based active contour model has been proposed in which the image edge is extracted smoothly with the Greedy algorithm. Additionally Distance Regularized Level set Evolution algorithm has also been used to handle the very steep contour of the images. I personally thank my god, colleagues and parents for their encouragement and support for the publication.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch. Bestandsnummer des Verkäufers 9786139889914
Neu kaufen
EUR 39,90
EUR 60,00 Versand
Versand von Deutschland nach USA
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Anzahl: 1 verfügbar
Foto des Verkäufers
Edge based Active Contour Model for Semi-transparent Images
Verlag:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 613988991X
ISBN 13: 9786139889914
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book aims to provide an understanding on how to segment the images based on active contour based model. Interactive image segmentation algorithms are sensitive to the user inputs and are often unable to produce an accurate boundary with a small amount of user interaction. They frequently rely on laborious user editing to refine the segmentation boundary. The Gaussian Mixture Model method for image segmentation exhibits many desirable properties of an effective interactive image segmentation algorithm, including robustness to user inputs and different initializations, the ability to produce a smooth and accurate boundary contour, and the ability to handle topology changes, it fails to handle semi-transparent images.The aim of this work is to extract sharp and steep images by handling semi-transparent images. An edge based active contour model has been proposed in which the image edge is extracted smoothly with the Greedy algorithm. Additionally Distance Regularized Level set Evolution algorithm has also been used to handle the very steep contour of the images. I personally thank my god, colleagues and parents for their encouragement and support for the publication. Bestandsnummer des Verkäufers 9786139889914
Neu kaufen
EUR 40,89
EUR 60,66 Versand
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 1 verfügbar