Finding the correct boundary in noisy images is still a difficult task. This paper introduces a new edge following technique for boundary detection in noisy images. Utilization of the proposed technique is exhibited via its application to various types of medical images. Proposed technique can detect the boundaries of objects in noisy images using the information from the intensity gradient via the vector image model and the texture gradient via the edge map. In this technique magnitude and directions, both are considered while calculating vector information. The vector details of image give idea about edge. Texture details are used to derive edge map. Not only magnitude of image but direction is also considered so gives better result as compared to previous methods.
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Finding the correct boundary in noisy images is still a difficult task. This paper introduces a new edge following technique for boundary detection in noisy images. Utilization of the proposed technique is exhibited via its application to various types of medical images. Proposed technique can detect the boundaries of objects in noisy images using the information from the intensity gradient via the vector image model and the texture gradient via the edge map. In this technique magnitude and directions, both are considered while calculating vector information. The vector details of image give idea about edge. Texture details are used to derive edge map. Not only magnitude of image but direction is also considered so gives better result as compared to previous methods.
Mrs.S.B.Karole,M.E(Electronics)Assistant Professor at D.K.T.E.S,TEI,Ichalkaranji,India.Prof.A.V.Shah,M.E(Electronics)Assistant Professor at D.K.T.E.S,TEI,Ichalkaranji,India.Prof.(Dr.)S.A.Patil,M. Tech.(Biomedical Engg.) Ph.D. (Electronics)Professor & HOD of ETC Dept at D.K.T.E.S,TEI,Ichalkaranji,India.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Finding the correct boundary in noisy images is still a difficult task. This paper introduces a new edge following technique for boundary detection in noisy images. Utilization of the proposed technique is exhibited via its application to various types of medical images. Proposed technique can detect the boundaries of objects in noisy images using the information from the intensity gradient via the vector image model and the texture gradient via the edge map. In this technique magnitude and directions, both are considered while calculating vector information. The vector details of image give idea about edge. Texture details are used to derive edge map. Not only magnitude of image but direction is also considered so gives better result as compared to previous methods. 84 pp. Englisch. N° de réf. du vendeur 9783330009448
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Paperback. Etat : Brand New. 01 edition. 84 pages. 8.66x5.91x0.19 inches. In Stock. N° de réf. du vendeur 3330009446
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Karole SwapnaliMrs.S.B.Karole,M.E(Electronics)Assistant Professor at D.K.T.E.S,TEI,Ichalkaranji,India.Prof.A.V.Shah,M.E(Electronics)Assistant Professor at D.K.T.E.S,TEI,Ichalkaranji,India.Prof.(Dr.)S.A.Patil,M. Tech.(Biomedical Engg. N° de réf. du vendeur 159137185
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Finding the correct boundary in noisy images is still a difficult task. This paper introduces a new edge following technique for boundary detection in noisy images. Utilization of the proposed technique is exhibited via its application to various types of medical images. Proposed technique can detect the boundaries of objects in noisy images using the information from the intensity gradient via the vector image model and the texture gradient via the edge map. In this technique magnitude and directions, both are considered while calculating vector information. The vector details of image give idea about edge. Texture details are used to derive edge map. Not only magnitude of image but direction is also considered so gives better result as compared to previous methods.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch. N° de réf. du vendeur 9783330009448
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Finding the correct boundary in noisy images is still a difficult task. This paper introduces a new edge following technique for boundary detection in noisy images. Utilization of the proposed technique is exhibited via its application to various types of medical images. Proposed technique can detect the boundaries of objects in noisy images using the information from the intensity gradient via the vector image model and the texture gradient via the edge map. In this technique magnitude and directions, both are considered while calculating vector information. The vector details of image give idea about edge. Texture details are used to derive edge map. Not only magnitude of image but direction is also considered so gives better result as compared to previous methods. N° de réf. du vendeur 9783330009448
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Boundary Detection in Medical Images | Boundary Detection in Medical Images Using Edge Following Algorithm Based on Intensity and Texture Gradient Features. | Swapnali Karole (u. a.) | Taschenbuch | 84 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783330009448 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 107882897
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