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.
"synopsis" may belong to another edition of this title.
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.
"About this title" may belong to another edition of this title.
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: 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. Seller Inventory # 9783330009448
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 01 edition. 84 pages. 8.66x5.91x0.19 inches. In Stock. Seller Inventory # 3330009446
Quantity: 1 available
Seller: moluna, Greven, Germany
Condition: 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. Seller Inventory # 159137185
Quantity: Over 20 available
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: 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. Seller Inventory # 9783330009448
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: 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. Seller Inventory # 9783330009448
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: 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. Seller Inventory # 107882897