A multiobjective spatial fuzzy clustering algorithm for image segmentation
Multiobjective spatial fuzzy clustering for image segmentation is proposed. The non-local spatial information of an image is introduced into fitness functions. The final solution is chosen by a cluster index with non-local spatial information. The proposed method can automatically evolve the number of clusters. Experiments on noisy images demonstrate the superiority of the proposed method.
fuzzy clustering image segmentation non-local spatial information multiobjective optimization cluster validity measure