Chroma-based Weighted Fuzzy C-means Clustering Image Segmentation Algorithm

摘要

Fuzzy C-means (FCM) clustering image segmentation algorithm is widely used in the field of image segmentation.Generally,the research of FCM algorithm for image segmentation has two weak points,one is only using the grayscale information of image and without taking into account the chroma information of image,which results segmentation quality of some images is not ideal; the other one is that FCM algorithm is timeconsuming when dealing with large sample clustering.This paper presents chroma-based weighted fuzzy C-means (WFCM) clustering image segmentation algorithm,which transforms the data of image into HSV,YUV chroma space and then uses the WFCM algorithm for image segmentation.Experimental results show that our proposed image segmentation algorithm in dealing with large sample clustering is much less time spent compared to chroma-based FCM clustering image segmentation algorithm,which lowers the complexity of the image segmentation algorithm