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EUSFLAT
2001

On fuzzy rule-based algorithms for image segmentation using gray-level histogram analysis

10 years 4 months ago
On fuzzy rule-based algorithms for image segmentation using gray-level histogram analysis
One of the biggest problems in computer vision systems, analyzing images having high uncertainty/vagueness degree, is the treatment of such uncertainty. This problem is even clearest in the segmentationprocess. Fuzzy set theory and fuzzy logic are ideally suited for dealing with such uncertainty. This work extends our earlier and on-going work in automated image labeled segmentation, modeled following expert's knowledge. This knowledge is represented by means of a fuzzy rule-base, wherein the membership functions associated to the labels are defined based on the analysis of the gray-value's histogram of the pixels of the training images. The proposed system has been evaluated on two very different real data sets.
Eduard Montseny, Pilar Sobrevilla
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2001
Where EUSFLAT
Authors Eduard Montseny, Pilar Sobrevilla
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