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Title

Colour image segmentation solving hard-constraints on graph partitioning greedy algorithms

AuthorsVergés Llahí, Jaume; Climent Vilaro, Juan; Sanfeliu, Alberto
KeywordsPattern recognition: Computer vision
Computer vision
Issue Date2000
PublisherInstitute of Electrical and Electronics Engineers
Citation15th International Conference on Pattern Recognition: 625-628 (2000)
AbstractA graph partitioning greedy algorithm is presented. This algorithm avoids the hard-constraints of others similar approaches such as the impossibility for some regions to grow after certain step of the algorithm and the uniqueness of the solution. Nevertheless, it allows attaining global results by local approximations using a generalised concept of not over-segmentation, which includes an energy function, and eliminating the not sub-segmentation criterion using a probabilistic criterion similar to that of annealing. The high-variability region problems such as borders are also eliminated identifying them and distributing their pixels among the other neighbour regions. Thus, it is possible to keep the time complexity of usual graph partitioning greedy algorithm and avoiding its high variability region problems, obtaining better results.
DescriptionInternational Conference on Pattern Recognition (ICPR), 2000, Barcelona (España)
URIhttp://hdl.handle.net/10261/30204
DOIhttp://dx.doi.org/10.1109/ICPR.2000.903623
ISBN0769507506
Appears in Collections:(IRII) Comunicaciones congresos
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