A Novel Linelet-Based Representation for Line Segment Detection

This paper proposes a method for line segment detection in digital images. We propose a novel linelet-based representation to model intrinsic properties of line segments in rasterized image space. Based on this, line segment detection, validation, and aggregation frameworks are constructed. For a nu...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence Jg. 40; H. 5; S. 1195 - 1208
Hauptverfasser:	Nam-Gyu Cho, Yuille, Alan, Seong-Whan Lee
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.05.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Benchmark testing Digital images Digital imaging Electronic mail Estimation Image detection Image edge detection Image segmentation Intrinsic properties of digital line line segment validation Mathematical models Nonlinear programming Numerical methods probabilistic line segment representation Representations State of the art Visualization
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online-Zugang:	Volltext
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