In view of the problem that the improved algorithms based on FCM can not solve the problem of accuracy and speed of image segmentation, an improved algorithm based on FCM is proposed to efficiently segment images. An inhibitor is added to the algorithm to increase the clustering rate of the algorithm. Weighted fuzzy factors are added to the target function of the original KFCM algorithm to increase the spatial information of pixels to solve the problem of segmentation accuracy of the algorithm. It can be seen from the graphs of the comparison experiments that the improved algorithm has a better effect on the original image segmentation, and the effect of noise suppression is more obvious. Through the experimental data of the introduced evaluation index, it can be seen intuitively that the improved algorithm not only has better segmentation performance for the original gray image and noise image, but also has better robustness and inhibition for noise and isolated points. It shows that the improved algorithm can greatly improve people’s work efficiency, and proposes a way of thinking and direction for people to improve again in the future.