Aiming at the poor segmentation quality of traditional fuzzy C-means clustering algorithm caused by damaged stains,folding marks,large color difference and noise destruction in Miao costume image,a robust FCM algorithm based on spatial information was proposed for Miao clothing image segmentation.By means of mean filtering and median filtering,two methods were obtained,and an adaptive weighted parameter was used to adjust the sparsity of fuzzy membership degree,which aimed to enhance the extraction of details and improve the robustness of the algorithm to noise.Experiments show that for images destroyed by Gaussian noise,the partition coefficient is increased by about 3.6％and the partition entropy is reduced by about 5.6％based on the improved algorithm of spatial constraint term processed by mean filter.For images destroyed by salt-and-pepper noise,the partition coefficient is increased by about 2.7％and the partition entropy is reduced by about 4.3％based on the improved algorithm of spatial constraint term processed by median filter.The algorithm in this paper improves the quality of this kind of Miao costume image segmentation,which has extraordinary significance for the inheritance of traditional culture.
维普
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