Fast Fuzzy C-Means Algorithm Incorporating Convex Combination of Bilateral Filter with Contrast Limited Adaptive Histogram Equalization
Keywords:
Fuzzy logic, Image filtering, Histogram equalization, Impulse noise, Noise detection.Abstract
Fast Generalized Fuzzy c-means clustering algorithm (FGFCM) and its variants are effective methods for image clustering. Even though the incorporation of local spatial information to the objective function reduces their sensitivity to noise to some extent, they are still lack behind in suppressing the effect of noise and outliers on the edges and tiny areas of input image. This article proposes an algorithm to mitigate the disadvantage of FGFCM and its variants and enhances the performance of clustering.
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