6.3.2 Line Detectors, Direct Detection of Straight Lines

van der Brug, G.J.[Gordon J.],
Semilinear Line Detectors,
CGIP(4), No. 3, September 1975, pp. 287-293.
Elsevier DOI BibRef 7509

van der Brug, G.J.[Gordon J.],
Line Detection in Satellite Imagery,
GeoEl(14), No. 1, January 1976, pp. 37-44. BibRef 7601

van der Brug, G.J.[Gordon J.], Rosenfeld, A.[Azriel],
Linear Feature Mapping,
SMC(8), 1978, pp. 768-774. BibRef 7800

van der Brug, G.J.[Gordon J.],
Experiments in Iterative Enhancement of Linear Features,
CGIP(6), No. 1, February 1977, pp. 25-42.
Elsevier DOI BibRef 7702

Davis, L.S., Rosenfeld, A.[Azriel], Agrawala, A.K.,
On Models for Line Detection,
SMC(6), 1976, pp. 127-133. BibRef 7600

Rothstein, J., Weiman, C.F.R.[Carl F.R.],
Parallel and Sequential Specification of a Context Sensitive Language for Straight Lines on Grids,
CGIP(5), 1976, pp. 106-124. Alternate reference gave second author and 1979 (Vol 9) date. BibRef 7600

Dudani, S.A.[Sahibsingh A.], Luk, A.L.[Anthony L.],
Locating Straight Line Edge Segments in Outdoor Scenes,
PR(10), No. 3, 1978, pp. 145-157.
Elsevier DOI BibRef 7800
Earlier: PRIP77(366-376). Based on the histogram of edge direction, find line segments. BibRef

Nichol, D.G.,
Processing Noisy Line Spectrograms as Digital Pictures,
PR(9), No. 3, October 1977, pp. 137-146.
Elsevier DOI 0309
Processing speech signal as images. BibRef

Nichol, D.G.,
Processing Spectrograms as Digital Pictures to Separate Competing Line Signatures,
PR(11), No. 3, 1979, pp. 179-190.
Elsevier DOI BibRef 7900

Paton, K.[Keith],
Line Detection By Local Methods,
CGIP(9), No. 4, April 1979, pp. 316-332.
Elsevier DOI BibRef 7904
And:
Detection of Thin Line Segments,
ICPR78(704-706). Lines not edges. BibRef

Herbison-Evans, D.,
A Fast Algorithm for Finding Lines in Pictures,
CGIP(17), No. 3, November 1981, pp. 281-289.
Elsevier DOI BibRef 8111

Shneier, M.O.,
Extracting Linear Features from Images Using Pyramids,
SMC(12), No. 4, July/August 1982, pp. 569-572. BibRef 8207

Hong, T.H., Shneier, M.O., Rosenfeld, A.[Azriel],
Border Extraction Using Linked Pyramids,
SMC(12), 1982, pp. 660-668.
See also Segmentation and Estimation of Image Region Properties Through Cooperative Hierarchical Computation. BibRef 8200

Burns, J.B., Hanson, A.R., Riseman, E.M.,
Extracting Straight Lines,
PAMI(8), No. 4, July 1986, pp. 425-455. BibRef 8607
Earlier: ICPR84(482-485). BibRef
And: COINSTR 84-29, UMass., December 1984. BibRef
And: DARPA84(165-168). BibRef
And: RCV87(180-183). Line regions are determined by directions. Basic regions are derived by breaking the angles into two sets of discrete values that are shifted by half of the bucket size. The optimal region for the edge is determined, and long straight lines are generated for the regions. BibRef

Kahn, P., Kitchen, L., Riseman, E.M.,
A Fast Line Finder for Vision-Guided Robot Navigation,
PAMI(12), No. 11, November 1990, pp. 1098-1102.
IEEE DOI Fast implementation of Burns algorithm that limits the area being processed to improve performance. BibRef 9011

Bevacqua, G.[Giuseppe], Floris, R.[Ruhal],
A Surface Specific-Line Tracking and Slope Recognition Algorithm,
CVGIP(40), No. 2, November 1987, pp. 219-227.
Elsevier DOI Ridges and valleys. BibRef 8711

Haberstroh, R.[Richard], Kurz, L.[Ludwik],
Line Detection in Noisy and Structured Backgrounds Using Graeco-Latin Squares,
GMIP(55), No. 3, May 1993, pp. 161-yy. BibRef 9305

Caglioti, V.[Vincenzo],
On the Uncertainty of Straight Lines in Digital Images,
GMIP(55), No. 4, July 1993, pp. 255-yy. BibRef 9307

Aghajan, H.K., Kailath, T.,
SLIDE: Subspace-Based Line Detection,
PAMI(16), No. 11, November 1994, pp. 1057-1073.
IEEE DOI Find long straight lines, compared results to Hough. BibRef 9411

Aghajan, H.K., Khalaj, B.H., Kailath, T.,
Estimation of Skew Angle in Text-Image Analysis by SLIDE: Subspace-Based Line Detection,
MVA(7), No. 4, 1994, pp. 267-276. Skew Correction. BibRef 9400

Aghajan, H.K., Khalaj, B.H., Kailath, T.,
Estimation of Multiple 2-D Uniform Motions by SLIDE: Subspace-Based Line Detection,
IP(8), No. 4, April 1999, pp. 517-526.
IEEE DOI
See also SLIDE: Subspace-Based Line Detection. BibRef 9904

Aghajan, H.K., Kailath, T.,
Sensor Array Processing Techniques for Super Resolution Multi-Line-Fitting And Straight Edge Detection,
IP(2), No. 4, October 1993, pp. 454-465.
IEEE DOI BibRef 9310

Mansouri, A.R.[Abdol-Reza], Malowany, A.S.[Alfred S.], Levine, M.D.[Martin D.],
Line Detection in Digital Pictures: A Hypothesis Prediction/Verification Paradigm,
CVGIP(40), No. 1, October 1987, pp. 95-114.
Elsevier DOI The presented work is only for lines of a predefined length of any orientation. BibRef 8710

Shu, J.J.,
Line Detection Filters,
JEEEA(14), No. 3, September 1994, pp. 169-177. BibRef 9409

di Martino, J.C., Tabbone, S.A.,
An Approach to Detect Lofar Lines,
PRL(17), No. 1, January 10 1996, pp. 37-46. BibRef 9601

Tsuda, K., Minoh, M., Ikeda, K.,
Extracting Straight-Lines by Sequential Fuzzy Clustering,
PRL(17), No. 6, May 15 1996, pp. 643-649. 9607
BibRef

Petrou, M.,
Optimal Convolution Filters and an Algorithm for the Detection of Wide Linear Features,
IEE-P(I: 140), No. 5, 1993, pp. 331-339. BibRef 9300

Murtagh, F., Raftery, A.E.,
Fitting Straight Lines to Point Patterns,
PR(17), No. 5, 1984, pp. 479-483.
Elsevier DOI 9611
BibRef

Stanford, D.C.[Derek C.], Raftery, A.E.[Adrian E.],
Finding Curvilinear Features in Spatial Point Patterns: Principal Curve Clustering with Noise,
PAMI(22), No. 6, June 2000, pp. 601-609.
IEEE DOI 0008
BibRef

Goodson, K.J., Lewis, P.H.,
A Knowledge Based Line Recognition System,
PRL(11), 1990, pp. 295-304. BibRef 9000

Dobie, M.R., Lewis, P.H.,
Extracting curvilinear features from remotely sensed images using minimum cost path techniques,
ICIP94(III: 231-235).
IEEE DOI 9411
BibRef

Phillips, T.H., Rosenfeld, A.[Azriel],
A Simplified Method of Detecting Structure in Glass Patterns,
PRL(4), 1986, pp. 213-217. BibRef 8600

Davies, E.R.,
Image Space Transforms for Detecting Straight Edges in Industrial Images,
PRL(4), 1986, pp. 185-192. BibRef 8600

Murphy, L.M.,
Linear Feature Detection and Enhancement in Noisy Images via the Radon Transform,
PRL(4), 1986, pp. 279-284. BibRef 8600

Li, C.C., Mancuso, J.F., Sun, Y.N.,
Automatic Evaluation of Segregation Streaks in Material Samples,
PRL(2), 1984, pp. 413-418. BibRef 8400

van Mieghem, J.A., Avi-Itzhak, H.I., Melen, R.D.,
Straight Line Extraction Using Iterative Total Least Squares Methods,
JVCIR(6), 1995, pp. 59-68. BibRef 9500

Neri, A.,
Optimal detection and estimation of straight patterns,
IP(5), No. 5, May 1996, pp. 787-792.
IEEE DOI 0402
BibRef

Kutka, R., Stier, S.,
Extraction of line properties based on direction fields,
MedImg(15), No. 1, February 1996, pp. 51-58.
IEEE Top Reference. 0203
BibRef

Behar, D., Cheung, J., Kurz, L.,
Contrast Techniques for Line Detection in a Correlated Noise Environment,
IP(6), No. 5, May 1997, pp. 625-641.
IEEE DOI 9705
BibRef

Lou, X.M., Hassebrook, L.G., Lhamon, M.E., Li, J.,
Numerically Efficient Angle, Width, Offset, and Discontinuity Determination of Straight Lines by the Discrete Fourier Bilinear Transformation Algorithm,
IP(6), No. 10, October 1997, pp. 1464-1467.
IEEE DOI 9710
BibRef

Hemdal, J.F.[John F.],
One-dimensional digital processing of images for straight-line detection,
PR(31), No. 11, November 1998, pp. 1687-1690.
Elsevier DOI BibRef 9811

Barni, M.[Mauro], Gualtieri, R.[Rossana],
A new possibilistic clustering algorithm for line detection in real world imagery,
PR(32), No. 11, November 1999, pp. 1897-1909.
Elsevier DOI BibRef 9911

Barni, M.[Mauro], Cappellini, V., Paoli, A., Mecocci, A.,
Unsupervised detection of straight lines through possibilistic clustering,
ICIP96(II: 963-966).
IEEE DOI 9610
BibRef

Yu, W.P.[Won Pil], Chu, G.W.[Gil Whoan], Chung, M.J.[Myung Jin],
A robust line extraction method by unsupervised line clustering,
PR(32), No. 4, April 1999, pp. 529-546.
Elsevier DOI BibRef 9904

Koundinya, K.N.V.L.N., Chanda, B.[Bhabatosh],
Detecting lines in gray level images using search techniques,
SP(37), No. 2, 1994, pp. 287-299.
Elsevier DOI BibRef 9400

Shpilman, R.[Ron], Brailovsky, V.L.[Victor L.],
Fast and robust techniques for detecting straight line segments using local models,
PRL(20), No. 8, August 1999, pp. 865-877. BibRef 9908

Lagunovsky, D.[Dmitry], Ablameyko, S.V.[Sergey V.],
Straight-line-based primitive extraction in grey-scale object recognition,
PRL(20), No. 10, October 1999, pp. 1005-1014. 9911
BibRef
Earlier:
Fast line and rectangle detection by clustering and grouping,
CAIP97(503-510).
Springer DOI 9709
BibRef

Genello, G.J., Cheung, J.F.Y., Billis, S.H., Saito, Y.,
Graeco-Latin Squares Design for Line Detection in the Presence of Correlated Noise,
IP(9), No. 4, April 2000, pp. 609-622.
IEEE DOI 0004
BibRef

Cheung, J.F.Y., Heskiaoff, H., Billis, S.H., Cheng, P.S.,
Directional Line Detectors in Correlated Noisy Environments,
IP(9), No. 12, December 2000, pp. 2061-2070.
IEEE DOI 0011
BibRef

Bigand, A., Bouwmans, T., Dubus, J.P.,
Extraction of line segments from fuzzy images,
PRL(22), No. 13, November 2001, pp. 1405-1418.
Elsevier DOI 0108
BibRef

Jang, J.H.[Jeong-Hun], Hong, K.S.[Ki-Sang],
Linear band detection based on the Euclidean distance transform and a new line segment extraction method,
PR(34), No. 9, September 2001, pp. 1751-1764.
Elsevier DOI 0108
BibRef
Earlier:
Detection of linear bands in gray-scale images based on the Euclidean distance transform and the Hough transform,
CIAP99(191-196).
IEEE DOI 9909

See also Detection of curvilinear structures and reconstruction of their regions in gray-scale images. BibRef

Jang, J.H.[Jeong-Hun], Hong, K.S.[Ki-Sang],
Fast line segment grouping method for finding globally more favorable line segments,
PR(35), No. 10, October 2002, pp. 2235-2247.
Elsevier DOI 0206
BibRef

Chen, T.C.[Teh-Chuan], Chung, K.L.[Kuo-Liang],
A New Randomized Algorithm for Detecting Lines,
RealTimeImg(7), No. 6, December 2001, pp. 473-481.
DOI Link 0202
BibRef

Climer, S.[Sharlee], Bhatia, S.K.[Sanjiv K.],
Local Lines: A linear time line detector,
PRL(24), No. 14, October 2003, pp. 2291-2300.
Elsevier DOI 0307
BibRef

Guru, D.S., Shekar, B.H., Nagabhushan, P.,
A simple and robust line detection algorithm based on small eigenvalue analysis,
PRL(25), No. 1, January 2004, pp. 1-13.
Elsevier DOI 0311
BibRef

Maybank, S.J.[Stephen J.],
The Fisher-Rao Metric for Projective Transformations of the Line,
IJCV(63), No. 3, July 2005, pp. 191-206.
Springer DOI
PDF File. 0505
Detect projective transformations of the line that are compatible with a given set of measurements. BibRef

Maybank, S.J.[Stephen J.],
A Fisher-Rao Metric for Curves Using the Information in Edges,
JMIV(54), No. 3, March 2016, pp. 287-300.
WWW Link. 1604
BibRef

Maybank, S.J.[Stephen J.],
Detection of Image Structures Using the Fisher Information and the Rao Metric,
PAMI(26), No. 12, December 2004, pp. 1579-1589.
IEEE Abstract.
PDF File. 0411
Line detection. BibRef

Maybank, S.J.[Stephen J.],
Application of the Fisher-Rao Metric to Structure Detection,
JMIV(25), No. 1, July 2006, pp. 49-62.
Springer DOI
PDF File. 0610

See also Application of the Fisher-Rao Metric to Ellipse Detection. BibRef

Petridis, S.[Sergios], Perantonis, S.J.[Stavros J.],
On the relation between discriminant analysis and mutual information for supervised linear feature extraction,
PR(37), No. 5, May 2004, pp. 857-874.
Elsevier DOI 0405
BibRef

Ogawa, S.[Shigetaka], Hirao, K.[Koitiro], Hongu, T.[Takahiro], Kusaka, T.[Tamotsu],
Line segment detector,
US_Patent6,690,375, Feb 10, 2004
WWW Link. H, V, Diag line segments. BibRef 0402

Lee, Y.S.[Yun-Seok], Koo, H.S.[Han-Suh], Jeong, C.S.[Chang-Sung],
A straight line detection using principal component analysis,
PRL(27), No. 14, 15 October 2006, pp. 1744-1754.
Elsevier DOI 0609
Principal component analysis (PCA); Line descriptor; Edge image BibRef

Tsitsipis, P., Kontogeorgos, A., Hillaris, A., Moussas, X., Caroubalos, C., Preka-Papadema, P.,
Fast estimation of slopes of linear and quasi-linear structures in noisy background, using Fourier methods,
PR(40), No. 2, February 2007, pp. 563-577.
Elsevier DOI 0611
Line detection; Slope detection; Fourier transform Edge detection; Angular distribution BibRef

Liu, L., Zhang, D., You, J.,
Detecting Wide Lines Using Isotropic Nonlinear Filtering,
IP(16), No. 6, June 2007, pp. 1584-1595.
IEEE DOI 0706
BibRef

El Mejdani, S., Egli, R., Dubeau, F.,
Old and new straight-line detectors: Description and comparison,
PR(41), No. 6, June 2008, pp. 1845-1866.
Elsevier DOI 0802
Straight-line detection; Point-line duality; Hough transform; Parallel-axis transform; Circle transform Hough transform (SHT), the revisited Hough transform (RHT) (
See also Extended Hough transform for linear feature detection. ), the parallel-axis transform (PAT) (
See also plane with parallel coordinates, The. ), and the circle transform (CT). (
See also Graphical techniques for detecting lines with the Hough transform. ). BibRef

von Gioi, R.G.[Rafael Grompone], Jakubowicz, J.[Jérémie], Morel, J.M.[Jean-Michel], Randall, G.[Gregory],
On Straight Line Segment Detection,
JMIV(32), No. 3, November 2008, pp. xx-yy.
Springer DOI 0810
BibRef
Earlier: A1, A3, A4, Only:
Multisegment Detection,
ICIP07(II: 253-256).
IEEE DOI 0709
Extension of the approach presented by Desolneux for straight line detection.
See also grouping principle and four applications, A. BibRef

von Gioi, R.G.[Rafael Grompone], Jakubowicz, J.[Jeremie], Morel, J.M.[Jean-Michel], Randall, G.[Gregory],
LSD: A Fast Line Segment Detector with a False Detection Control,
PAMI(32), No. 4, April 2010, pp. 722-732.
IEEE DOI 1003

PDF File. Linear time detector. No training. Code available:
See also LSD: a Line Segment Detector. BibRef

von Gioi, R.G.[Rafael Grompone], Jakubowicz, J.[Jeremie], Morel, J.M.[Jean-Michel], Randall, G.[Gregory],
LSD: a Line Segment Detector,
IPOL(2012), No. 2012, pp. xx-yy.
DOI Link 1204
Code, Line Segments. BibRef

Wang, H.N.[Hao-Nan], Lee, T.C.M.[Thomas C.M.],
Extraction of curvilinear features from noisy point patterns using principal curves,
PRL(29), No. 16, 1 December 2008, pp. 2078-2084.
Elsevier DOI 0811
Autoregressive modeling; Clustering; Curvilinear feature extraction; Minimum description length principle; Principal curves; Spatial point patterns BibRef

Yoon, C.H., Bodvarsson, B., Klim, S., MØrkebjerg, M., Mortensen, S., Chen, J., Maclaren, J.R., Luther, P.K., Squire, J.M., Bones, P.J., Millane, R.P.,
Determination of Myosin Filament Orientations in Electron Micrographs of Muscle Cross Sections,
IP(18), No. 4, April 2009, pp. 831-839.
IEEE DOI 0903
Study of orientations. BibRef

Li, S.X.[Shu-Xiao], Chang, H.X.[Hong-Xing], Zhu, C.F.[Cheng-Fei],
Fast curvilinear structure extraction and delineation using density estimation,
CVIU(113), No. 6, June 2009, pp. 763-775.
Elsevier DOI 0904
Line detection; Density estimation; Small object detector; Centerline detector LWF: Local Weighted Features BibRef

Zheng, L.Y.[Li-Ying], Shi, D.M.[Da-Ming],
Advanced Radon transform using generalized interpolated Fourier method for straight line detection,
CVIU(115), No. 2, February 2011, pp. 152-160.
Elsevier DOI 1102
Radon transform; Generalized interpolated Fourier transform; Straight line detection
See also Advanced Hough Transform Using A Multilayer Fractional Fourier Method. BibRef

Zhou, G.Y.[Guang-Yi], Cui, Y.[Yi], Chen, Y.L.[Yi-Lun], Yang, J.[Jian], Rashvand, H.[Habib], Yamaguchi, Y.[Yoshio],
Linear Feature Detection in Polarimetric SAR Images,
GeoRS(49), No. 4, April 2011, pp. 1453-1463.
IEEE DOI 1104
BibRef

Liu, C.[Chun], Gao, J.[Jie], Liu, S.C.[Shi-Chong], Li, C.[Chao], Cheng, Y.C.[Yong-Chao], Luo, Y.[Yi], Yang, J.[Jian],
Harbor Detection in Polarimetric SAR Images Based on Context Features and Reflection Symmetry,
RS(16), No. 16, 2024, pp. 3079.
DOI Link 2408
BibRef

Mahanta, M.S.[Mohammad Shahin], Aghaei, A.S.[Amirhossein S.], Plataniotis, K.N.[Konstantinos N.], Pasupathy, S.[Subbarayan],
Heteroscedastic linear feature extraction based on sufficiency conditions,
PR(45), No. 2, February 2012, pp. 821-830.
Elsevier DOI 1110
Feature extraction; Dimension reduction; Sufficient statistic; Heteroscedastic data; Discriminant analysis; Gaussianity; Quadratic classifier BibRef

Alemán-Flores, M.[Miguel], Alvarez, L.[Luis], Gomez, L.[Luis], Santana-Cedrés, D.[Daniel],
Line detection in images showing significant lens distortion and application to distortion correction,
PRL(36), No. 1, 2014, pp. 261-271.
Elsevier DOI 1312
Line detection BibRef

von Gioi, R.G.[Rafael Grompone],
A Contrario Line Segment Detection,

Horev, I.[Inbal], Nadler, B.[Boaz], Arias-Castro, E.[Ery], Galun, M.[Meirav], Basri, R.[Ronen],
Detection of Long Edges on a Computational Budget: A Sublinear Approach,
SIIMS(8), No. 1, 2015, pp. 458-483.
DOI Link 1503
BibRef

Ofir, N.[Nati], Galun, M.[Meirav], Alpert, S.[Sharon], Brandt, A.[Achi], Nadler, B.[Boaz], Basri, R.[Ronen],
On Detection of Faint Edges in Noisy Images,
PAMI(42), No. 4, April 2020, pp. 894-908.
IEEE DOI 2003
Image edge detection, Noise measurement, Matched filters, Smoothing methods, Detection algorithms, Microscopy, microscopy images BibRef

Pan, J., Feng, Q., Yan, L., Yang, J.,
Neighborhood Feature Line Segment for Image Classification,
CirSysVideo(25), No. 3, March 2015, pp. 387-398.
IEEE DOI 1503
Databases BibRef

Kim, J.[Jaewoong], Lee, S.[Sukhan],
Extracting Major Lines by Recruiting Zero-Threshold Canny Edge Links along Sobel Highlights,
SPLetters(22), No. 10, October 2015, pp. 1689-1692.
IEEE DOI 1506
edge detection BibRef

Bermudez-Cameo, J.[Jesus], Lopez-Nicolas, G.[Gonzalo], Guerrero, J.J.[Jose J.],
Automatic Line Extraction in Uncalibrated Omnidirectional Cameras with Revolution Symmetry,
IJCV(114), No. 1, August 2015, pp. 16-37.
Springer DOI 1508
BibRef
Earlier:
Line extraction in uncalibrated central images with revolution symmetry,
BMVC13(xx-yy).
DOI Link 1402
BibRef
Earlier:
A Unified Framework for Line Extraction in Dioptric and Catadioptric Cameras,
ACCV12(IV:627-639).
Springer DOI 1304
BibRef

Bermudez-Cameo, J.[Jesus], Lopez-Nicolas, G.[Gonzalo], Guerrero, J.J.[Jose J.],
Fitting line projections in non-central catadioptric cameras with revolution symmetry,
CVIU(167), 2018, pp. 134-152.
Elsevier DOI 1804
Geometry, Non-central cameras, Omnidirectional vision, Line-projections BibRef

Brown, M.[Mark], Windridge, D.[David], Guillemaut, J.Y.[Jean-Yves],
A generalisable framework for saliency-based line segment detection,
PR(48), No. 12, 2015, pp. 3993-4011.
Elsevier DOI 1509
Line detection BibRef

Brown, M.[Mark], Windridge, D.[David], Guillemaut, J.Y.[Jean-Yves],
A generalised framework for saliency-based point feature detection,
CVIU(157), No. 1, 2017, pp. 117-137.
Elsevier DOI 1704
Point detection BibRef

Liu, X., Cao, Z., Gu, N., Nahavandi, S., Zhou, C., Tan, M.,
Intelligent Line Segment Perception With Cortex-Like Mechanisms,
SMCS(45), No. 12, December 2015, pp. 1522-1534.
IEEE DOI 1512
Biological system modeling BibRef

Ding, W.L.[Wei-Li], Wang, W.F.[Wen-Feng], Li, X.L.[Xiao-Li],
OTLines: A novel line-detection algorithm without the interference of smooth curves,
PR(53), No. 1, 2016, pp. 238-258.
Elsevier DOI 1602
Feature extraction BibRef

Mashtakov, A.[Alexey], Duits, R., Sachkov, Y., Bekkers, E.J., Beschastnyi, I.,
Tracking of Lines in Spherical Images via Sub-Riemannian Geodesics in SO(3),
JMIV(58), No. 2, June 2017, pp. 239-264.
Springer DOI 1704
BibRef

Shao, C.Y.[Chun-Yan], Ding, Q.H.[Qing-Hai], Luo, H.B.[Hai-Bo], Chang, Z.[Zheng], Zhang, C.[Chi], Zheng, T.J.[Tian-Jiang],
Step-by-step pipeline processing approach for line segment detection,
IET-IPR(11), No. 6, June 2017, pp. 416-424.
DOI Link 1706
BibRef

Cho, N.G.[Nam-Gyu], Yuille, A.L.[Alan L.], Lee, S.W.[Seong-Whan],
A Novel Linelet-Based Representation for Line Segment Detection,
PAMI(40), No. 5, May 2018, pp. 1195-1208.
IEEE DOI 1804
Benchmark testing, Digital images, Estimation, Image edge detection, Image segmentation, Visualization, image edge detection BibRef

Zhou, F., Cao, Y., Wang, X.,
Fast and Resource-Efficient Hardware Implementation of Modified Line Segment Detector,
CirSysVideo(28), No. 11, November 2018, pp. 3262-3273.
IEEE DOI 1811
Hardware, Field programmable gate arrays, Image segmentation, Real-time systems, Image edge detection, Mathematical model, real-time BibRef

Polisano, K.[Kévin], Condat, L.[Laurent], Clausel, M.[Marianne], Perrier, V.[Valérie],
A Convex Approach to Superresolution and Regularization of Lines in Images,
SIIMS(12), No. 1, 2019, pp. 211-258.
DOI Link 1904
Recover lines in degraded images. BibRef

Sun, Y.Y.[Yi-Yuan], Wang, Q.A.[Qi-Ang], Tansey, K.[Kevin], Ullah, S.[Sana], Liu, F.[Fan], Zhao, H.[Haimeng], Yan, L.[Lei],
Multi-Constrained Optimization Method of Line Segment Extraction Based on Multi-Scale Image Space,
IJGI(8), No. 4, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Liu, C.G.[Chen-Guang], Abergel, R.[Rémy], Gousseau, Y.[Yann], Tupin, F.[Florence],
LSDSAR, a Markovian a contrario framework for line segment detection in SAR images,
PR(98), 2020, pp. 107034.
Elsevier DOI 1911
Line segments, SAR images, A contrario models, Markov chain, Local orientations BibRef

Liu, Y.[Yang], Xie, Z.[Zongwu], Liu, H.[Hong],
LB-LSD: A length-based line segment detector for real-time applications,
PRL(128), 2019, pp. 247-254.
Elsevier DOI 1912
Line segment detection, Adaptive threshold, Edge segment, Helmholtz principle, Real-time, Length condition BibRef

Xu, P.F.[Peng-Fei], Guo, J.[Jun], Chen, F.[Feng], Xiao, Y.[Yun], Xia, Q.S.[Qi-Shou], Liu, B.Y.[Bao-Ying],
General model for linear information extraction based on the shear transformation,
PRL(130), 2020, pp. 107-115.
Elsevier DOI 2002
Linear information extraction, The shear transformation, General model, Edge detection, Line extraction BibRef

Shapira, G.[Gil], Hassner, T.[Tal],
Fast and accurate line detection with GPU-based least median of squares,
RealTimeIP(17), No. 4, August 2020, pp. 839-851.
WWW Link. 2007
BibRef

Queiroz, G.L.[Gustavo Lopes], McDermid, G.J.[Gregory J.], Rahman, M.M.[Mir Mustafizur], Linke, J.[Julia],
The Forest Line Mapper: A Semi-Automated Tool for Mapping Linear Disturbances in Forests,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Zhang, Y.J.[Yong-Jun], Wei, D.[Dong], Li, Y.S.[Yan-Sheng],
AG3line: Active grouping and geometry-gradient combined validation for fast line segment extraction,
PR(113), 2021, pp. 107834.
Elsevier DOI 2103
Line extraction, Active grouping, Anchor map, Alignment of gradient magnitude BibRef

Xue, N.[Nan], Bai, S.[Song], Wang, F.D.[Fu-Dong], Xia, G.S.[Gui-Song], Wu, T.F.[Tian-Fu], Zhang, L.P.[Liang-Pei], Torr, P.H.S.[Philip H.S.],
Learning Regional Attraction for Line Segment Detection,
PAMI(43), No. 6, June 2021, pp. 1998-2013.
IEEE DOI 2106
BibRef
Earlier:
Learning Attraction Field Representation for Robust Line Segment Detection,
CVPR19(1595-1603).
IEEE DOI 2002
Image segmentation, Image edge detection, Detectors, Lattices, Machine learning, Training, deep learning BibRef

Huan, L.X.[Lin-Xi], Xue, N.[Nan], Zheng, X.W.[Xian-Wei], He, W.[Wei], Gong, J.Y.[Jian-Ya], Xia, G.S.[Gui-Song],
Unmixing Convolutional Features for Crisp Edge Detection,
PAMI(44), No. 10, October 2022, pp. 6602-6609.
IEEE DOI 2209
Image edge detection, Cats, Location awareness, Detectors, Entropy, Feature extraction, Training, Edge detection, deep learning, convolutional feature unmixing BibRef

Li, H.[Hao], Yu, H.[Huai], Wang, J.W.[Jin-Wang], Yang, W.[Wen], Yu, L.[Lei], Scherer, S.[Sebastian],
ULSD: Unified line segment detection across pinhole, fisheye, and spherical cameras,
PandRS(178), 2021, pp. 187-202.
Elsevier DOI 2108
Award, U.V. Helava, ISPRS. Line segment detection, Bezier curve, Image distortion, Neural network BibRef

Zuñiga-Noël, D.[David], Moreno, F.A.[Francisco-Angel], Gonzalez-Jimenez, J.[Javier],
D-LSD: A Distorted Line Segment Detector for Calibrated Images,
CAIP21(II:422-431).
Springer DOI 2112
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Suárez, I.[Iago], Buenaposada, J.M.[José M.], Baumela, L.[Luis],
ELSED: Enhanced line SEgment drawing,
PR(127), 2022, pp. 108619.
Elsevier DOI 2205
Image edge detection, Efficient line segment detection, Line segment detection evaluation BibRef

Lashgari, M.[Mojtaba], Rabbani, H.[Hossein], Plonka, G.[Gerlind], Selesnick, I.[Ivan],
Reconstruction of Connected Digital Lines Based on Constrained Regularization,
IP(31), 2022, pp. 5613-5628.
IEEE DOI 2209
Interpolation, Image edge detection, Mathematical models, Image reconstruction, Image segmentation, Computational modeling, digital line BibRef

Yang, M.[Min], Huang, H.R.[Hao-Ran], Zhang, Y.Q.[Yi-Qi], Yan, X.F.[Xiong-Feng],
Pattern Recognition and Segmentation of Administrative Boundaries Using a One-Dimensional Convolutional Neural Network and Grid Shape Context Descriptor,
IJGI(11), No. 9, 2022, pp. xx-yy.
DOI Link 2209
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Chen, J.H.[Jia-Hao], Li, X.Z.[Xiu-Zhi], Zhang, X.Y.[Xiang-Yin],
SLDF: A semantic line detection framework for robot guidance,
SP:IC(115), 2023, pp. 116970.
Elsevier DOI 2306
Semantic line, Line detection, Deep network, Farmland field navigation BibRef

Wang, Z.K.[Zi-Kai], Zhong, B.J.[Bao-Jiang], Han, D.X.[Dong-Xu], Ma, K.K.[Kai-Kuang],
Contrast-Guided Line Segment Detection,
SPLetters(31), 2024, pp. 281-285.
IEEE DOI 2402
Image edge detection, Image segmentation, Detectors, Merging, Manuals, Task analysis, Reliability, Line segment detection, line segment validation BibRef

Wang, Z.K.[Zi-Kai], Zhong, B.J.[Bao-Jiang], Chen, X.Y.[Xue-Yuan], Zheng, H.J.[Hang-Jia],
MPG-LSD: A high-quality line segment detector based on multi-scale perceptual grouping,
PR(149), 2024, pp. 110286.
Elsevier DOI 2403
Line segment detection, Perceptual grouping, Multi-scale, Optimal scale, Line segment refinement, Line segment validation BibRef

Ehret, T.[Thibaud], Morel, J.M.[Jean-Michel],
Line Segment Detection: a Review of the 2022 State of the Art,
IPOL(14), 2024, pp. 41-63.
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Survey, Line Segments Detection. BibRef

Yu, H.[Huai], Li, H.[Hao], Yang, W.[Wen], Yu, L.[Lei], Xia, G.S.[Gui-Song],
Detecting Line Segments in Motion-Blurred Images With Events,
PAMI(46), No. 5, May 2024, pp. 2866-2881.
IEEE DOI 2404
Motion segmentation, Image segmentation, Image edge detection, Cameras, Feature extraction, Visualization, Training, motion blur BibRef

Pautrat, R.[Rémi], Barath, D.[Daniel], Larsson, V.[Viktor], Oswald, M.R.[Martin R.], Pollefeys, M.[Marc],
DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients,
CVPR23(17327-17336)
IEEE DOI 2309
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Hu, S.[Sijie], Bonardi, F.[Fabien], Bouchafa, S.[Samia], Sidibé, D.[Désiré],
A hybrid multi-modal visual data cross fusion network for indoor and outdoor scene segmentation,
ICPR22(2539-2545)
IEEE DOI 2212
Visualization, Costs, Codes, Semantic segmentation, Data integration, Transformers, Polarimetry BibRef

Khairallah, M.Z.[Mahmoud Z.], Bonardi, F.[Fabien], Roussel, D.[David], Bouchafa, S.[Samia],
Flow-Based Line Detection and Segmentation for Neuromorphic Vision Sensors,
ICPR22(3603-3610)
IEEE DOI 2212
Time-frequency analysis, Visualization, Simultaneous localization and mapping, Neuromorphics, Search problems BibRef

Wei, D.[Dong], Wan, Y.[Yi], Zhang, Y.J.[Yong-Jun], Liu, X.[Xinyi], Zhang, B.[Bin], Wang, X.[Xiqi],
ELSR: Efficient Line Segment Reconstruction with Planes and Points Guidance,
CVPR22(15786-15794)
IEEE DOI 2210
Image segmentation, Urban areas, Buildings, Reconstruction algorithms, Pattern recognition, Photogrammetry and remote sensing BibRef

Zhang, H.T.[Hao-Tian], Luo, Y.C.[Yi-Cheng], Qin, F.[Fangbo], He, Y.J.[Yi-Jia], Liu, X.[Xiao],
ELSD: Efficient Line Segment Detector and Descriptor,
ICCV21(2949-2958)
IEEE DOI 2203
Location awareness, Image segmentation, Matched filters, Simultaneous localization and mapping, Computational modeling, Vision for robotics and autonomous vehicles BibRef

Abdellali, H.[Hichem], Frohlich, R.[Robert], Vilagos, V.[Viktor], Kato, Z.[Zoltan],
L2D2: Learnable Line Detector and Descriptor,
3DV21(442-452)
IEEE DOI 2201
Pose estimation, Training data, Detectors, Cameras, Feature extraction, Convolutional neural networks, Line detector, CNNs BibRef

Pautrat, R.[Rémi], Lin, J.T.[Juan-Ting], Larsson, V.[Viktor], Oswald, M.R.[Martin R.], Pollefeys, M.[Marc],
SOLD2: Self-supervised Occlusion-aware Line Description and Detection,
CVPR21(11363-11373)
IEEE DOI 2111
Location awareness, Training, Image segmentation, Pipelines, Detectors, Feature extraction BibRef

Jin, D.K.[Dong-Kwon], Park, W.[Wonhui], Jeong, S.G.[Seong-Gyun], Kim, C.S.[Chang-Su],
Harmonious Semantic Line Detection via Maximal Weight Clique Selection,
CVPR21(16732-16740)
IEEE DOI 2111
Measurement, Codes, Image edge detection, Semantics, Detectors, Filtering algorithms BibRef

Xu, Y.F.[Yi-Fan], Xu, W.J.[Wei-Jian], Cheung, D.[David], Tu, Z.W.[Zhuo-Wen],
Line Segment Detection Using Transformers without Edges,
CVPR21(4255-4264)
IEEE DOI 2111
Casting, Image edge detection, Computational modeling, Detectors, Predictive models, Transformers BibRef

Huang, S.[Siyu], Qin, F.B.[Fang-Bo], Xiong, P.F.[Peng-Fei], Ding, N.[Ning], He, Y.J.[Yi-Jia], Liu, X.[Xiao],
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Jin, D.K.[Dong-Kwon], Lee, J.T.[Jun-Tae], Kim, C.S.[Chang-Su],
Semantic Line Detection Using Mirror Attention and Comparative Ranking and Matching,
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Zhang, Z.H.[Zi-Heng], Li, Z.X.[Zheng-Xin], Bi, N.[Ning], Zheng, J.[Jia], Wang, J.L.[Jin-Lei], Huang, K.[Kun], Luo, W.X.[Wei-Xin], Xu, Y.Y.[Yan-Yu], Gao, S.H.[Sheng-Hua],
PPGNet: Learning Point-Pair Graph for Line Segment Detection,
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IEEE DOI 2002
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Even, P.[Philippe], Ngo, P.[Phuc], Kerautret, B.[Bertrand],
Thick Line Segment Detection with Fast Directional Tracking,
CIAP19(II:159-170).
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Kurlin, V.[Vitaliy], Muszynski, G.[Grzegorz],
A Persistence-Based Approach to Automatic Detection of Line Segments in Images,
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He, S., Qin, X., Zhang, Z., Jagersand, M.,
Incremental 3D Line Segment Extraction from Semi-dense SLAM,
ICPR18(1658-1663)
IEEE DOI 1812
Image segmentation, Image edge detection, Image reconstruction BibRef

Lee, J.T., Kim, H.U., Lee, C., Kim, C.S.,
Semantic Line Detection and Its Applications,
ICCV17(3249-3257)
IEEE DOI 1802
convolution, image classification, learning (artificial intelligence), neural nets, Semantics BibRef

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MCMLSD: A Dynamic Programming Approach to Line Segment Detection,
CVPR17(5854-5862)
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Dynamic programming, Image edge detection, Image segmentation, Markov processes, Probabilistic logic, Training, Uncertainty BibRef

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Edge Map BibRef

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Biomedical imaging. Enhancement of thin, elongated object. BibRef

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ICIP14(4712-4716)
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Edges as line segments, then to edgels. Image edge detection BibRef

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GMM;fuzzy connectedness;image segmentation;thin elongated objects BibRef

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Kang, X., Cheung, P.Y.S., Yau, W.P., Hu, Y.,
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del-Toro-Almenares, A.[Anesto], Mihai, C.[Cosmin], Vanhamel, I.[Iris], Sahli, H.[Hichem],
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Chapter on Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform continues in
Extended Linear Features - Beyond Segments .