Ensemble Of Image Segmentation With Generalized Entropy Based Fuzzy Clustering
نویسندگان
چکیده
Ensemble of image segmentation based on generalized entropy’s fuzzy clustering is studied in this paper. Aiming at the generalized entropy’s objective function in fuzzy clustering and introducing the spatial information into this objective function, we obtain an image segmentation algorithm ISGFCM based on neural network. Further, we introduce kernel into above objective function to obtain its kernel algorithm ISGKFCM. Then, we use ISGFCM and ISGKFCM as basis clustering algorithms, respectively, to generate many different image segmentation results and use 2SWC method to select some members of segmentation. And we use CSPA and its generalized method GCSPA to fuse some selected segmentation results. In experiment, three images are chosen to conduct some experimental study. Results show the effectiveness of presented method. Keywords-fuzzy clustering; image segmentation; generalized entropy; fusion
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