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Unsupervised active regions for multiresolution image segmentation
Muñoz Pujol, Xavier; Martí Bonmatí, Joan; Cufí i Solé, Xavier; Freixenet i Bosch, Jordi
An unsupervised approach to image segmentation which fuses region and boundary information is presented. The proposed approach takes advantage of the combined use of 3 different strategies: the guidance of seed placement, the control of decision criterion, and the boundary refinement. The new algorithm uses the boundary information to initialize a set of active regions which compete for the pixels in order to segment the whole image. The method is implemented on a multiresolution representation which ensures noise robustness as well as computation efficiency. The accuracy of the segmentation results has been proven through an objective comparative evaluation of the method
Imatges -- Processament
Imatges -- Segmentació
Image processing
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Artículo
IEEE
         

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