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Unsupervised active regions for multiresolution image segmentation

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

IEEE

Author: Muñoz Pujol, Xavier
Martí Bonmatí, Joan
Cufí i Solé, Xavier
Freixenet i Bosch, Jordi
Abstract: 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
Document access: http://hdl.handle.net/2072/58664
Language: eng
Publisher: IEEE
Rights: Tots els drets reservats
Subject: Imatges -- Processament
Imatges -- Segmentació
Image processing
Title: Unsupervised active regions for multiresolution image segmentation
Type: info:eu-repo/semantics/article
Repository: Recercat

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