A new approach to segmentation based on fusing circumscribed contours, region growing and clustering
dc.contributor.author
dc.date.accessioned
2010-05-10T11:33:56Z
dc.date.available
2010-05-03T15:11:46Z
2010-05-10T11:33:56Z
dc.date.issued
2000
dc.identifier.citation
Muñoz, X., Cufí, X., Freixenet, J., i Martí, J. (2000). A new approach to segmentation based on fusing circumscribed contours, region growing and clustering. International Conference on Image Processing : 2000 : Proceedings, 1, 800-803. Recuperat 10 maig 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=901080
dc.identifier.isbn
0-7803-6297-7
dc.identifier.uri
dc.description.abstract
One of the major problems in machine vision is the segmentation of images of natural scenes. This paper presents a new proposal for the image segmentation problem which has been based on the integration of edge and region information. The main contours of the scene are detected and used to guide the posterior region growing process. The algorithm places a number of seeds at both sides of a contour allowing stating a set of concurrent growing processes. A previous analysis of the seeds permits to adjust the homogeneity criterion to the regions's characteristics. A new homogeneity criterion based on clustering analysis and convex hull construction is proposed
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
IEEE
dc.relation.isformatof
Reproducció digital del document publicat a: http://dx.doi.org/10.1109/ICIP.2000.901080
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© International Conference on Image Processing : 2000 : Proceedings, 2000, vol. 1, p. 800-803
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Articles publicats (D-ATC)
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Tots els drets reservats
dc.subject
dc.title
A new approach to segmentation based on fusing circumscribed contours, region growing and clustering
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.identifier.doi