NDLI: Dark line detection with line width extraction

Content Provider	IEEE Xplore Digital Library
Author	QinzLi Lei Zhang You, J. Zhang, D. Bhattacharya, P.
Copyright Year	2008
Description	Author affiliation: Dept. of Comput., Hong Kong Polytech. Univ., Hong Kong (QinzLi; Lei Zhang; You, J.; Zhang, D.) \|\| Inst. for Inf. Syst. Eng., Concordia Univ., Montreal, QC (Bhattacharya, P.)
Abstract	Automated line detection 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 detect dark lines without much false detection 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.
Starting Page	621
Ending Page	624
File Size	388912
Page Count	4
File Format	PDF
ISBN	9781424417650
ISSN	15224880
DOI	10.1109/ICIP.2008.4711831
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image edge detection Detectors Detection algorithms Gabor filters Band pass filters Roads Biomedical imaging Data mining Information systems Systems engineering and theory edge detection Line detection width estimation
Content Type	Text
Resource Type	Article

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