<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "An efficient Self-Organizing Active Contour model for image segmentation "^^ . "Active Contour Models (ACMs) constitute a powerful energy-based minimization framework for image segmentation, based on the evolution of an active contour. Among ACMs, supervised {ACMs} are able to exploit the information extracted from supervised examples to guide the contour evolution. However, their applicability is limited by the accuracy of the probability models they use. As a consequence, effectiveness and efficiency of supervised {ACMs} are among their main real challenges, especially when handling images containing regions characterized by intensity inhomogeneity. In this paper, to deal with such kinds of images, we propose a new supervised ACM, named Self-Organizing Active Contour (SOAC) model, which combines a variational level set method (a specific kind of ACM) with the weights of the neurons of two Self-Organizing Maps (SOMs). Its main contribution is the development of a new {ACM} energy functional optimized in such a way that the topological structure of the underlying image intensity distribution is preserved – using the two {SOMs} – in a parallel-processing and local way. The model has a supervised component since training pixels associated with different regions are assigned to different SOMs. Experimental results show the superior efficiency and effectiveness of {SOAC} versus several existing ACMs. "^^ . "2015-02" . "149" . "Part B" . . "Elsevier"^^ . . . "Neurocomputing"^^ . . . "09252312" . . . . . . . . . . . . . "Giorgio"^^ . "Gnecco"^^ . "Giorgio Gnecco"^^ . . "Mohammed"^^ . "Abdelsamea"^^ . "Mohammed Abdelsamea"^^ . . "Mohamed Medhat"^^ . "Gaber"^^ . "Mohamed Medhat Gaber"^^ . . . . . "HTML Summary of #2620 \n\nAn efficient Self-Organizing Active Contour model for image segmentation \n\n" . "text/html" . . . "QA75 Electronic computers. Computer science"@en . .