Retinal blood vessel detection using multiscale line filter and phase congruency
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.
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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.
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