Local Feature Detection on the Ocular Fundus Fluorescein angiogram Using Relaxation Process

이완법을 이용한 형광안저화상의 국소특징 검출

An local adaptive image segmentatin algorithm for local feature detection and effective clustering of unimodal histogram shape are proposed. Local adaptive difference image and its histogram are obtained from the input image. The parameters are derived from the histogram and used for the segmentation based on relaxatin process. The results showed effective region segmentation and good noise cleaning for the ocular fundus fluorescein angiogram which has low contrast and unimodal histogram.