User Settings
Article

Retinal blood vessel detection using multiscale line filter and phase congruency

Yalin Zheng-2013-01-01
5

TL;DRAbstract

In this paper, a multiscale line filter is proposed which is integrated with phase congruency to detect the network of vessels in retinal images. The proposed line filter can reduces the influence of step edges compared with Gaussian matched filter, and the post process use the phase congruency demonstrated a substantial improvement in detecting vessels which have low contrast or minor width. The performance of the proposed method is evaluated on the publicly available databases DRIVE and STARE. The experimental results show that an effective and robust detection can be achieved.

Chat with Paper

AI Agents for this Paper

In this paper, a multiscale line filter is proposed which is integrated with phase congruency to detect the network of vessels in retinal images. The proposed line filter can reduces the influence of step edges compared with Gaussian matched filter, and the post process use the phase congruency demonstrated a substantial improvement in detecting vessels which have low contrast or minor width. The performance of the proposed method is evaluated on the publicly available databases DRIVE and STARE. The experimental results show that an effective and robust detection can be achieved.

Keywords

Filter (signal processing)Phase congruencyArtificial intelligenceComputer visionLine (geometry)Computer scienceContrast (vision)Phase (matter)

Chat

Click to start Chat