Title :
Retinal vessel tracking using bilateral filter based on Canny method
Author :
Sun, Xiaolin ; Chai, Zhenhua ; Miao, Chuang ; Jiang, Yonghang ; Duan, Zhao Y. ; Wang, Ling G. ; Chang, Samuel H.
Author_Institution :
Coll. of Electron. Sci. & Eng., Jilin Univ., Changchun, China
Abstract :
This paper presents a new method to measure retinal blood vessel with sub-pixel accuracy. The method is based on a modified Canny edge detection method with a bilateral filter. There are three stages of the method. First, the bilateral filter is used to remove the vessel background noises, and then the Canny detector is used to detect all vessel edges. Second, vessel sample profiles crossed vessel boundaries are obtain based on Canny edges. Third, the new vessel positions are measured from the Gaussian fits of the sample profiles. The validation of the method is tested by real images with outputs of the vessel walls and center lines in sub-pixel accuracy.
Keywords :
Gaussian distribution; blood vessels; edge detection; filtering theory; image segmentation; Canny edge detection; Gaussian fits; bilateral filter; crossed vessel boundaries; retinal blood vessel; retinal vessel tracking; sub-pixel accuracy; vessel background noise; vessel sample profile; Biomedical imaging; Blood vessels; Image edge detection; Matched filters; Pixel; Retinal vessels;
Conference_Titel :
Audio Language and Image Processing (ICALIP), 2010 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-5856-1
DOI :
10.1109/ICALIP.2010.5685127