The study of edge detection of cerebrovascular image based on gabor filter

Yinsheng Lei; Mingshi Wang; Tongjing Sun; Guiyou Chen; Yi Liu; Zhongguo Liu

doi:10.1109/IEMBS.2005.1615675

The study of edge detection of cerebrovascular image based on gabor filter

Conf Proc IEEE Eng Med Biol Soc. 2005:2005:5295-7. doi: 10.1109/IEMBS.2005.1615675.

Authors

Yinsheng Lei¹, Mingshi Wang, Tongjing Sun, Guiyou Chen, Yi Liu, Zhongguo Liu

Affiliation

¹ College of Precision Instrument and Opto-Electronics Engineering,TianJin University, Tianjin, 300072, P.R.C.; ShanDong Youth Administrative cadre College, Jinan, 250014, P.R.C.

PMID: 17281445
DOI: 10.1109/IEMBS.2005.1615675

Abstract

In order to analyze and process the cerebrovascular image, we research the frame characteristic of the filter's imaginary part based on the analysis of the basic character of the Gabor filter algorithm. In detecting the edge of cerebrovascular image, we introduce the imaginary part of the Gabor filter algorithm as the new image characters of cerebrovascular image, and get a better experiment result by using the analysis strategy of weighted average. At the same time, in order to accelerate the pick process, we improve the Gabor filter algorithm special condition and reduce the timecomplexity of the algorithm greatly.