<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "A Concurrent SOM-Based Chan-Vese Model for Image Segmentation"^^ . "Concurrent Self Organizing Maps (CSOMs) deal with the pattern classification problem in a parallel processing way, aiming to minimize a suitable objective function. Similarly, Active Contour Models (ACMs) (e.g., the Chan-Vese (CV) model) deal with the image segmentation problem as an optimization problem by minimizing a suitable energy functional. The effectiveness of ACMs is a real challenge in many computer vision applications. In this paper, we propose a novel regional ACM, which relies on a CSOM to approximate the foreground and background image intensity distributions in a supervised way, and to drive the active-contour evolution accordingly. We term our model Concurrent Self Organizing Map-based Chan-Vese (CSOM-CV) model. Its main idea is to concurrently integrate the global information extracted by a CSOM from a few supervised pixels into the level-set framework of the CV model to build an effective ACM. Experimental results show the effectiveness of CSOM-CV in segmenting synthetic and real images, when compared with the stand-alone CV and CSOM models."^^ . "2014" . "295" . . "Springer"^^ . . "Springer"^^ . . . . . . . . . . . . . . "Mohammed"^^ . "Abdelsamea"^^ . "Mohammed Abdelsamea"^^ . . "Mohamed Medhat"^^ . "Gaber"^^ . "Mohamed Medhat Gaber"^^ . . "Giorgio"^^ . "Gnecco"^^ . "Giorgio Gnecco"^^ . . . . . "HTML Summary of #2972 \n\nA Concurrent SOM-Based Chan-Vese Model for Image Segmentation\n\n" . "text/html" . . . "QA75 Electronic computers. Computer science"@en . .