Title :
On the Small Vessel Detection in High Resolution Retinal Images
Author :
Zhang, Ming ; Di Wu ; Liu, Jyh-Charn
Author_Institution :
Comput. Sci. Dept., Texas A&M Univ., College Station, TX
Abstract :
In this paper, we proposed a new scheme for detection of small blood vessels in retinal images. A novel filter called Gabor variance filter and a modified histogram equalization technique are developed to enhance the contrast between vessels and background. Vessel segmentation is then performed on the enhanced map using thresholding and branch pruning based on the vessel structures. The experiments on high resolution images showed the desirable results with performance of 84.75% true positive rate and 0.15% false positive rate
Keywords :
blood vessels; eye; image resolution; image segmentation; medical image processing; optical filters; Gabor variance filter; Vessel segmentation; branch pruning; histogram equalization; retinal image resolution; small vessel detection; Biomedical imaging; Blood vessels; Computer science; Diseases; Gabor filters; Histograms; Image analysis; Image resolution; Image segmentation; Retina;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1617150