A FCM Based Image Segmentation Algorithm using Multi-color Components
基于模糊C均值聚类的多分量彩色图像分割算法

We propose a FCM based image segmentation algorithm using multi-color components. Firstly,the image is converted from RGB color space to HSI color space,and initial clustering centers of H component and I component are selected according to the data distribution. Then,the FCM algorithm is performed on the H component and I component,and we can obtain the image pixel membership for H component and I component. Finally,two-dimensional image features are constructed with the image pixel membership,and the FCM based image segmentation is performed using two-dimensional image features. Experimental results show that the proposed method is simple and work well for most images,and has better segmentation effect than the existing FCM color image segmentation.