Dark Line Detection with Line Width Extraction

被引:0
|
作者
Li, Qin [1 ]
Zhang, Lei [1 ]
You, Jane [1 ]
Zhang, David [1 ]
Bhattacharya, Prabir [2 ]
机构
[1] Hong Kong Polytech Univ, KLN, Dept Comp, Hong Kong, Hong Kong, Peoples R China
[2] Concordia Univ, Inst Informat Syst Engn, Quebec City, PQ, Canada
关键词
Line detection; width estimation; edge detection;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Automated line defection is a classical image processing topic with many applications such as road detection in remote images and vessel detection in medical images. Many traditional line detectors, such as Gabor filter, the second order derivative of Gaussian and Radon transform will response not only to lines but also to edges, e.g. they will give high responses to the edges of bright lines or blobs when only dark lines are required. To reduce false detections when extracting only dark (or bright) lines, in this paper we propose a line detector by using the first derivative of Gaussian. It can defect dark lines without much false defection on blobs or bright lines. Meanwhile, the proposed method can estimate line width simultaneously. Experiments on various images are performed to test the proposed algorithm.
引用
收藏
页码:621 / 624
页数:4
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