Image Segmentation through Fuzzy Feature Space Analysis
نویسندگان
چکیده
We propose an image segmentation algorithm based on local measures and fuzzy feature space analysis. We address the problem of assigning individual pixels to multiple classes based on computed pixel properties. This new segmentation algorithm extends an object/background segmentation approach introduced in 1992. The idea of analyzing trajectories in fuzzy feature space leads to the partitioning of the image. The promising results are compared to a fuzzy entropy approach. We conclude the paper with a discussion of the potential of the approach and directions for possible future extensions.
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