A fusion method of Gabor wavelet transform and unsupervised clustering algorithms for tissue edge detection.This paper proposes two edge detection methods for medical images by integrating the advantages of Gabor wavelet transform (GWT) and unsupervised clustering algorithms.  The GWT is used to enhance the edge information in an image while suppressing noise. 
GWT
Following this, the k-means and Fuzzy c-means (FCM) clustering algorithms are used to convert a gray level image into a binary image. 
k-means
Following this, the k-means and Fuzzy c-means (FCM) clustering algorithms are used to convert a gray level image into a binary image. 
FCM