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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE transactions on pattern analysis and machine intelligence Ročník 40; číslo 5; s. 1195 - 1208
Hlavní autori:	Nam-Gyu Cho, Yuille, Alan, Seong-Whan Lee
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.05.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!