Image understanding usually includes interrelated components of image segmentation and object/scene recognition. Image segmentation extracts the objects/regions of interest from images which are then analyzed for recognition. Deformable contour methods (DCMs) are commonly applied for image segmentation. To understand the strengths and limitations of different DCMs, a comparative study to review eight major snakes and level set methods applied to the medical image segmentation is presented. The studied DCMs are compared using both qualitative and quantitative measures and the lessons learned from this medical segmentation comparison can be translated to other image segmentation domains. DCM results can be recognized for further image analysis and understanding, e.g. a graph matching algorithm is presented in this book for rather challenging segmentation applications, such as blur boundary, complex shape, and intensity inhomogeneity. The skeleton-based graph matching algorithm consists of major operations of skeleton extraction, representation, and matching for recognition, and the results are fedback into the image segmentation to increase the accuracy of the advanced segmentation.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Image understanding usually includes interrelated components of image segmentation and object/scene recognition. Image segmentation extracts the objects/regions of interest from images which are then analyzed for recognition. Deformable contour methods (DCMs) are commonly applied for image segmentation. To understand the strengths and limitations of different DCMs, a comparative study to review eight major snakes and level set methods applied to the medical image segmentation is presented. The studied DCMs are compared using both qualitative and quantitative measures and the lessons learned from this medical segmentation comparison can be translated to other image segmentation domains. DCM results can be recognized for further image analysis and understanding, e.g. a graph matching algorithm is presented in this book for rather challenging segmentation applications, such as blur boundary, complex shape, and intensity inhomogeneity. The skeleton-based graph matching algorithm consists of major operations of skeleton extraction, representation, and matching for recognition, and the results are fedback into the image segmentation to increase the accuracy of the advanced segmentation. 164 pp. Englisch. N° de réf. du vendeur 9783838318431
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: He LeiDr. Lei He received his PhD degree of Electrical Engineering at the University of Cincinnati in 2003. He is an associate professor at Armstrong Atlantic State University. His research interests include image processing and comp. N° de réf. du vendeur 5412518
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Taschenbuch. Etat : Neu. Towards Image Understanding | Deformable Contour and Graph-based Image Segmentation and Recognition | Lei He | Taschenbuch | 164 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838318431 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 101462485
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Image understanding usually includes interrelated components of image segmentation and object/scene recognition. Image segmentation extracts the objects/regions of interest from images which are then analyzed for recognition. Deformable contour methods (DCMs) are commonly applied for image segmentation. To understand the strengths and limitations of different DCMs, a comparative study to review eight major snakes and level set methods applied to the medical image segmentation is presented. The studied DCMs are compared using both qualitative and quantitative measures and the lessons learned from this medical segmentation comparison can be translated to other image segmentation domains. DCM results can be recognized for further image analysis and understanding, e.g. a graph matching algorithm is presented in this book for rather challenging segmentation applications, such as blur boundary, complex shape, and intensity inhomogeneity. The skeleton-based graph matching algorithm consists of major operations of skeleton extraction, representation, and matching for recognition, and the results are fedback into the image segmentation to increase the accuracy of the advanced segmentation.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 164 pp. Englisch. N° de réf. du vendeur 9783838318431
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Image understanding usually includes interrelated components of image segmentation and object/scene recognition. Image segmentation extracts the objects/regions of interest from images which are then analyzed for recognition. Deformable contour methods (DCMs) are commonly applied for image segmentation. To understand the strengths and limitations of different DCMs, a comparative study to review eight major snakes and level set methods applied to the medical image segmentation is presented. The studied DCMs are compared using both qualitative and quantitative measures and the lessons learned from this medical segmentation comparison can be translated to other image segmentation domains. DCM results can be recognized for further image analysis and understanding, e.g. a graph matching algorithm is presented in this book for rather challenging segmentation applications, such as blur boundary, complex shape, and intensity inhomogeneity. The skeleton-based graph matching algorithm consists of major operations of skeleton extraction, representation, and matching for recognition, and the results are fedback into the image segmentation to increase the accuracy of the advanced segmentation. N° de réf. du vendeur 9783838318431
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