Title :
Enhancement of vessel contours in retinal angiograms
Author :
Wanas, Nayer M. ; El-Sakka, Mahmound R. ; Kamel, Mohamed S.
Author_Institution :
Dept. of Syst. Design Eng., Waterloo Univ., Ont., Canada
Abstract :
Accurate and automatic assessment of angiograms has been sought as a powerful diagnostic tool in medical analysis, such as in diabetic retinopathy. These retinal angiogram images are characterized by poor local contrast. Applications of existing edge detection algorithms yield unsatisfactory results. In this paper, a set of cascaded linear directional filters is used to better enhance edges. Results show improvement in visual quality of the images
Keywords :
blood vessels; cascade networks; digital filters; edge detection; eye; image enhancement; medical image processing; cascaded linear directional filters; diabetic retinopathy; diagnostic tool; edge detection algorithms; enhancement; image contrast; medical analysis; retinal angiograms; vessel contours; visual quality; Biomedical imaging; Blood vessels; Diseases; Image analysis; Image edge detection; Image segmentation; Machine intelligence; Pattern analysis; Retina; System analysis and design;
Conference_Titel :
Electrical and Computer Engineering, 2000 Canadian Conference on
Conference_Location :
Halifax, NS
Print_ISBN :
0-7803-5957-7
DOI :
10.1109/CCECE.2000.849597
