Hierarchical Clustering Algorithm for Intensity Based Cluster Merging and Edge Detection in Medical Images

Edge detection in medical images is an intrinsic difficult problem as the gray value intensity images may show different edges through Improved Mountain Clustering based medical image. We present a clustering based indexing technique, where the images in the database are grouped into clusters of images with similar color content using a hierarchical clustering algorithm. An initial comparative study of various medical datasets shows the differences and properties of these approaches and makes clear that the proposal has interesting properties.