Improvement of Unsupervised Multi-component Image Segmentation through Fuzzy Relaxation
نویسندگان
چکیده
We show that the results obtained through clusteringbased image segmentation of single or multi-component images can be improved by a fuzzy relaxation of the degrees of membership in the image space. We illustrate the point through two clustering techniques: the fuzzy Cmeans (FCM) technique and a clustering technique based on the estimation of the probability density function (pdf).
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