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Title: Detecting wide lines using isotropic nonlinear filtering
Authors: Liu, L
Zhang, DD 
You, J 
Keywords: Curvilinear structures
Feature extraction
Isotropic nonlinear filter
Line detection
Wide line detector
Issue Date: Jun-2007
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on image processing, June 2007, v. 16, no. 6, p.1584-1595 How to cite?
Journal: IEEE transactions on image processing 
Abstract: Lines provide important information in images, and line detection is crucial in many applications. However, most of the existing algorithms focus only on the extraction of line positions, ignoring line thickness. This paper presents a novel wide line detector using an isotropic nonlinear filter. Unlike most existing edge and line detectors which use directional derivatives, our proposed wide line detector applies a nonlinear filter to extract a line completely without any derivative. The detector is based on the isotropic responses via circular masks. A general scheme for the analysis of the robustness of the proposed wide line detector is introduced and the dynamic selection of parameters is developed. In addition, this paper investigates the relationship between the size of circular masks and the width of detected lines. A sequence of tests has been conducted on a variety of image samples and our experimental results demonstrate the feasibility and effectiveness of the proposed method.
ISSN: 1057-7149
EISSN: 1941-0042
DOI: 10.1109/TIP.2007.894288
Rights: © 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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