Automatic selection of relevant levels in a hierarchy of fuzzy segmentations
نویسنده
چکیده
In this paper we face the problem of the automatic selection of relevant levels in a hierarchy of fuzzy segmentations. Today there is a wide variety of techniques (multiscale or hierarchical) to analyze an image with several levels of detail, but they don’t consider that not all the segmentations resulting from this process are interesting for the user. Here we propose a technique based in measuring the homogeneity of the fuzzy segmentation in each level, and analyze its evolution along the hierarchy to select for the user a subset of relevant results.
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