Dhandapani ramya (25 resultados)

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Paperback. Condición: Brand New. 76 pages. 8.66x5.91x0.18 inches. In Stock.

Paperback. Condición: Brand New. 68 pages. 8.66x5.91x0.16 inches. In Stock.

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Taschenbuch. Condición: Neu. Edge based Active Contour Model for Semi-transparent Images | Ramya Dhandapani (u. a.) | Taschenbuch | 76 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139889914 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

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paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condición: New.

Condición: New.

Taschenbuch. Condición: 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.…

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 76 pp. Englisch.

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book provides a insight on the conglomeration of management strategy and vehicular adhoc networks which enables to provide a pact between mobility and QoS. Normally, QoS-based clustering methods ignore immense speed mobility constraints. The mobility-based aggregate method ignores Quality of Service requirements such as safety, emergency and interactive media services are a challenging process. To provide a prominent interpolation between the QoS and mobility constraints, a pact has been designed and developed using mobile agent technology namely Agent based Dynamic Analytic Hierarchy Process (ADAHP). The proposed system maintains the stability of the interconnections by ensuring QoS requirements. Usage of Agents with Analytical Hierarchy Process Methodology provides better feasibility, stability to a vigorous environment like vehicular ad hoc networks.…

Taschenbuch. Condición: 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.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Yesuraj RajkumarI am a Post Graduate holding an M.Tech degree in Computer Science and Engineering from Karunya University, India. I am currently aspiring to be a researcher in the field of Computer Science and Engineering. I thank th.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kalanjiam Sasi Kala RaniDr. K. Sasi Kala Rani is working as a professor and the head of the department of computer science and engineering. She has 16 years of teaching experience, and she has published many papers in Scopus and WOS.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shanmugasundaram VinodhkumarMr. S. Vinodhkumar, obtained B.E (Civil Engineering) and M.E (Geotechnical Engineering) from GCT, Coimbatore with first class and distinction, is currently Assistant Professor in Department of Civil Engine. …

Condición: 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.…

Taschenbuch. Condición: 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.…

Taschenbuch. Condición: 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.…

Taschenbuch. Condición: 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.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shanmugasundaram VinodhkumarS. Vinodhkumar, der seinen Bachelor of Engineering (Bauingenieurwesen) und Master of Engineering (Geotechnik) an der GCT in Coimbatore mit Auszeichnung abgeschlossen hat, ist derzeit Assistenzprofessor in .…