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 algori...

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Bibliographic Details
Published inInternational Conference on Pattern Recognition Vol. 2; pp. 905 - 908 vol.2
Main Authors Munoz, X., Marti, J., Cufi, X., Freixenet, J.
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 2002
Subjects
Active contours
Fuses
Image edge detection
Image processing
Image resolution
Image segmentation
Imatges
Informatics
Pixel
Process control
Processament
Proposals
Region 4
Segmentació
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Summary: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.
ISBN:076951695X
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.2002.1048451