Abstract
A system of fuzzy rules can segment images to provide high-compression image coding. Segmentation-based image coding can achieve higher compression rates than information-theoretic imaging coding. Fuzzy image segmentation generalizes region-growing segmentation. The fuzzy rules use high-frequency information, computed with local edge-detection operators, to remove false contours in segmented images. The fuzzy segmentation-based image coding achieved faithful decoded images at more than 50:1 compression. >
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