A NOVEL IMAGE EDGE DETECTION ALGORITHM BASED ON FCM CLUSTERING AND WAVELET TRANSFORM

摘要

In this paper, an image edge detection algorithm based on FCM clustering and wavelet transform is presented. By this algorithm, we can not only detect the entire edge of original image, but also detect the edge of irregular sub-image that satisfies some characteristics. In the end, we compare it with Prewitt algorithm, Canny algorithm and Laplacia algorithm respectively. Experimental results show that the algorithm proposed in this paper has better performance in image edge detection.