A new algorithm for color image comparison based on similarity measures
نویسندگان
چکیده
In this work we address the problem of the quality assessments in the process of color images segmentation. We consider each component of a color image as a fuzzy set and therefore, we propose to use similarity measures (between fuzzy sets) to compare image segmentations. We test three segmentation algorithms, FCM [2], MAP-ML [11] and 2-TUP [21] on Berkeley segmentation database [17] and we evaluate the obtained results using our proposal.
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