@inproceedings{f36151a1b36b4e9b9cd22cb68f0e7281,
title = "Retinal blood vessel detection using multiscale line filter and phase congruency",
abstract = "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 = "Blood vessel, Multiscale line filter, Phase congruency, Retinal image",
author = "Baisheng Dai and Wei Bu and Xiangqian Wu and Yalin Zheng",
note = "Publisher Copyright: {\textcopyright} 2013 CSREA Press. All rights reserved.; 2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2013, at WORLDCOMP 2013 ; Conference date: 22-07-2013 Through 25-07-2013",
year = "2013",
language = "英语",
series = "Proceedings of the 2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2013",
publisher = "CSREA Press",
pages = "235--241",
editor = "Arabnia, \{Hamid R.\} and Leonidas Deligiannidis and Joan Lu and Tinetti, \{Fernando G.\} and Jane You and George Jandieri and Gerald Schaefer and Solo, \{Ashu M. G.\} and Vladimir Volkov",
booktitle = "Proceedings of the 2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2013",
}