A level set method with Sobolev Gradient and Haralick Edge Detection
NAGIOS: RODERIC FUNCIONANDO

A level set method with Sobolev Gradient and Haralick Edge Detection

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A level set method with Sobolev Gradient and Haralick Edge Detection

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dc.contributor.author Evgin, Goceri
dc.contributor.author Durá Martínez, Esther
dc.date.accessioned 2015-10-28T09:41:30Z
dc.date.available 2015-10-28T09:41:30Z
dc.date.issued 2014
dc.identifier.uri http://hdl.handle.net/10550/47931
dc.description.abstract Variational level set methods, which have been proposed with various energy functionals, mostly use the ordinary L type gradient in gradient descent algorithm to minimize the energy functional. The gradient flow is influenced by both the energy to be minimized and the norms, which are induced from inner products, used to measure the cost of perturbation of the curve. However, there are many undesired properties related to the gradient flows due to the 2 L type inner products. For example, there is not any regularity term in the definition of this inner product that causes non-smooth flows and inaccurate results. Therefore, in this work, Sobolev gradient has been used that is more efficient than the 2 L type gradient for image segmentation and has powerful properties such as regular gradient flows, independency to parameterization of curves, less sensitive to local features and noise in the image and also faster convergence rate than the standard gradient. In addition, Haralick edge detector has been used instead of the edge indicator function in this study. Because, the traditional edge indicator function, which is the absolute of the gradient of the convolved image with the aussian function, is sensitive to noise in level set methods. Experimental results on real images , which are abdominal magnetic resonance images, have been obtained for spleen and kidney segmentation. Quantitative analyses have been performed by using different measurements to evaluate the performance of the proposed approach, which can ignore topological noises and detect boundaries successfully.
dc.language.iso eng
dc.relation.ispartof Global journal of technology, 2015, vol. 5, p. 131-140
dc.rights.uri info:eu-repo/semantics/openAccess
dc.source Evgin, Goceri Durá Martínez, Esther 2015 A level set method with Sobolev Gradient and Haralick Edge Detection Global journal of technology 5 131 140
dc.subject Matemàtica aplicada
dc.subject Informàtica
dc.title A level set method with Sobolev Gradient and Haralick Edge Detection
dc.type info:eu-repo/semantics/article
dc.date.updated 2015-10-28T09:41:30Z
dc.identifier.idgrec 103219

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