6.3 Boundaries - More Than Simple Edge Points, Linking

Morse, S.P.,
Concepts of Use in Contour Map Processing,
CACM(12), No. 3, March 1969, pp. 147-152. BibRef 6903

Thurston, M., Rosenfeld, A.,
Edge and Curve Detection for Visual Scene Analysis,
TC(20), No. 5, May 1971, pp. 562-569. BibRef 7105 CMetImAly77(183-190). BibRef
Earlier: A1, A2: UMDGSFC TR 70-128, August 1970. BibRef

Rosenfeld, A., Thurston, M., Lee, Y.H.,
Edge and Curve Detection: Further Experiments,
TC(21), No. 7, July 1972, pp. 677-715. BibRef 7207

Granlund, G.H.,
Fourier Preprocessing for Hand Print Character Recognition,
TC(21), No. 2, February 1972, pp. 195-201. BibRef 7202 CMetImAly77(256-262). Fourier Descriptors. Application, Character Recognition. Recognize Characters. BibRef

Knutsson, H.[Hans], Granlund, G.H.,
Fourier Domain Design of Line and Edge Detectors,
ICPR80(45-47). BibRef 8000

Sidhu, G.S., Boute, R.T.,
Property Encoding: Application in Binary Picture Encoding and Boundary Following,
TC(21), No. 11, November 1972, pp. 1206-1215. BibRef 7211

Shirai, Y.[Yoshiaki],
A Context Sensitive Line Finder for Recognition of Polyhedra,
AI(4), No. 2, June 1973, pp. 95-119.
Elsevier DOI BibRef 7306
And:
Edge Finding, Segmentation of Edges and Recognition of Complex Industrial Parts,
IJCAI75(674-681). Model edges by straight lines and ellipses.
See also Recognition of Man-Made Objects Using Edge Cues. BibRef

Ramer, U.[Urs],
Extraction of Line Structures from Photographs of Curved Objects,
CGIP(4), No. 2, June 1975, pp. 81-103.
Elsevier DOI Strokes, group into streaks. BibRef 7506

Ramer, U.[Urs],
The Transformation of Photographic Images into Stroke Arrays,
CirSys(22), 1975, pp. 363-374. BibRef 7500

Mero, L.[Laszlo],
An Optimal Line Following Algorithm,
PAMI(3), No. 5, September 1981, pp. 593-598. BibRef 8109

Sankar, P.V., Sklansky, J.,
A Gestalt-Guided Boundary Follower for X-Ray Images of Lung Nodules,
PAMI(4), No. 3, May 1982, pp. 326-331.
See also Multiple-Order Derivatives for Detecting Local Image Characteristics. BibRef 8205

Hashimoto, M., Sankar, P.V., Sklansky, J.,
Detecting the Edges of Lung Tumors by Classification Techniques,
ICPR82(276-279). BibRef 8200

Towfig, F., Sklansky, J.,
Piecewise Linear Detection of Boundaries in Chest Radiographs,
ICPR80(592-595). BibRef 8000

Costabile, M.F., Pieroni, G.G.,
Boundary Detection Algorithms in Nuclear Medicine Imagery,
CGIP(17), No. 4, December 1981, pp. 362-374.
Elsevier DOI BibRef 8112

Black, W., Clement, T.P., Harris, J.F., Llewellyn, B., Preston, G.,
A General-Purpose Follower for Line-Structured Data,
PR(14), No. 1-6, 1981, pp. 33-42.
Elsevier DOI Line following implemented by table, so a variety can by used. BibRef 8100

Nagata, M.[Motoyasu],
Image Processing for Boundary Extraction of Remotely Sensed Data,
PR(14), No. 1-6, 1981, pp. 275-282.
Elsevier DOI 0309
BibRef

Crawley, B.J.[Barry J.],
Line follower,
US_Patent4,368,462, 01/11/1983.
HTML Version. BibRef 8301

Suk, M.S.[Min-Soo], Song, O.[Ohyoung],
Curvilinear Feature Extraction Using Minimum Spanning Trees,
CVGIP(26), No. 3, June 1984, pp. 400-411.
Elsevier DOI Minimal Spanning Tree. BibRef 8406

Shipman, A.L., Bitmead, R.R., Allen, G.H.,
Diffuse Edge Fitting and Following: A Location-Adaptive Approach,
PAMI(6), No. 1, January 1984, pp. 96-102. BibRef 8401

Fischler, M.A.[Martin A.], Wolf, H.C.[Helen C.],
Linear Delineation,
CVPR83(351-356). BibRef 8300
And: RCV87(204-209). BibRef
And:
Machine Perception of Linear Structure,
IJCAI83(1010-1013). BibRef
And: A1 only: DARPA82(274-282). Edge Linking.
See also Detection of Roads and Linear Structures in Low Resolution Aerial Images Using Multi-Source Knowledge Integration Techniques. Lines are extracted (almost) by nonmaximal suppression in intensity, then linking. BibRef

Chen, B.D., Siy, P.,
Forward / Backward Contour Tracing with Feedback,
PAMI(9), No. 3, May 1987, pp. 438-446. BibRef 8705

Grattoni, P.[Paolo], Pollastri, F.[Fabrizio], Premoli, A.[Amedeo],
A Contour Detection Algorithm Based on the Minimum Radial Inertia (MRI) Criterion,
CVGIP(43), No. 1, July 1988, pp. 22-36.
Elsevier DOI BibRef 8807

Parent, P.[Pierre], Zucker, S.W.[Steven W.],
Trace Inference, Curvature Consistency, and Curve Detection,
PAMI(11), No. 8, August 1989, pp. 823-839.
IEEE DOI BibRef 8908
Earlier: A2, A1:
Multiple-Size Operators and Optimal Curve Finding,
ICPR82(745-747). Infer the actual curve by combining locality, direction, and smoothness to get good curves. BibRef

Bryson, N., Taylor, C.J.,
Boundary Detection Using Bayesian Nets,
IVC(10), No. 5, June 1992, pp. 308-311.
Elsevier DOI BibRef 9206
Earlier:
PDF File. 9109
BibRef

Donahue, M.J., Rokhlin, S.I.,
On the Use of Level Curves in Image Analysis,
CVGIP(57), No. 2, March 1993, pp. 185-203.
DOI Link Related to the Parent/Zucker paper. The level curve aids in extraction of edges or other features. BibRef 9303

David, C.[Chantal], Zucker, S.W.[Steven W.],
Potentials, valleys, and dynamic global coverings,
IJCV(5), No. 3, December 1990, pp. xx-yy.
Springer DOI 9012
BibRef

Zucker, S.W., David, C., Dobbins, A., and Iverson, L.,
The Organization of Curve Detection: Coarse Tangent Fields and Fine Spline Coverings,
ICCV88(568-577).
IEEE DOI Using a discrete tangent field (edge directions), collect the elements into curves. BibRef 8800

Dubuc, B.[Benoit], Zucker, S.W.[Steven W.],
Indexing Visual Representations Through the Complexity Map,
ICCV95(142-149).
IEEE DOI BibRef 9500

Dubuc, B.[Benoit], Zucker, S.W.[Steven W.],
Curve-like sets, normal complexity, and representation,
ICPR94(A:216-221).
IEEE DOI 9410
BibRef

Ashkan, G., Modestino, J.W.,
The Contour Extraction Problem and Biomedical Applications,
CGIP(7), No. 3, June 1978, pp. 331-355.
Elsevier DOI BibRef 7806
Earlier: PRIP77(216-224). Seems to be: depending on Noise: 1) average it down, 2) find edges with a threshold, 3) produce a prototype image, 4) edges in original (noisy) image, 5) using prototype find in original; on chest-xrays (lung outlines) seems to eliminate some of the effects of ribs. BibRef

Gritton, G.W.K., Parrish, Jr., E.A.,
Boundary Location from an Initial Plan: The Bead Chain Algorithm,
PAMI(5), No. 1, January 1983, pp. 8-13. Generate an initial guess of the line location (a closed curve) and find the boundary which is actually closest to the guess. BibRef 8301

Mumford, D., Shah, J.,
Optimal Approximations by Piecewise Smooth Functions and Variational Problems,
CPAM(XLII), No. 5, 1988, pp. 577-685.
DOI Link
WWW Link. BibRef 8800
Earlier: The vision reference has been:
Boundary Detection by Minimizing Functionals,
CVPR85(22-26). Award, Longuet-Higgins. (Harvard Univ. and Northeastern Univ.) Attempt to find smooth boundaries. Regularization. Piecewise smooth functional is a variational PDE solution.
See also PALMS Image Partitioning: A New Parallel Algorithm for the Piecewise Affine-Linear Mumford-Shah Model. BibRef

Martelli, A.[Alberto],
An Application of Heuristic Search Methods to Edge and Contour Detection,
CACM(19), No. 2, February 1976, pp. 73-83. BibRef 7602
And: CMetImAly77(217-227). BibRef

Martelli, A.[Alberto],
Edge Detection Using Heuristic Methods,
CGIP(1), No. 2, August 1972, pp. 169-182.
Elsevier DOI BibRef 7208

Pingle, K.K., Tenenbaum, J.M.,
An Accommodating Edge Follower,
IJCAI71(1-7). BibRef 7100

Griffin, H.[Hugh],
Image pre-processing sub-system,
US_Patent4,897,719, Jan 30, 1990
WWW Link. linked boundary BibRef 9001

Cole, R., Vishkin, U.,
On The Detection Of Robust Curves,
GMIP(56), No. 3, May 1994, pp. 189-204. BibRef 9405

Gupta, A.K.[Arbind K.], Chaudhury, S.[Santanu], Parthasarathy, G.[Guturu],
A New Approach for Aggregating Edge Points into Line Segments,
PR(26), No. 7, July 1993, pp. 1069-1086.
Elsevier DOI BibRef 9307

Herault, L., Horaud, R.,
Smooth Curve Extraction by Mean-Field Annealing,
AMAI(13), No. 3-4, 1995, pp. 281-300. BibRef 9500

Veltkamp, R.C.,
Boundaries Through Scattered Points of Unknown Density,
GMIP(57), No. 6, November 1995, pp. 441-452. BibRef 9511

Belkasim, S.O., Shridhar, M., Ahmadi, M.,
New Methods for Contour-Detection and Automatic Thresholding,
CanECE(20), No. 4, December 1995, pp. 165-171. BibRef 9512

Fleck, M.M.[Margaret M.],
The Topology of Boundaries,
AI(80), No. 1, February 1996, pp. 1-27.
Elsevier DOI BibRef 9602
Earlier:
Boundaries and Topological Algorithms,
Ph.D.Thesis, 1988. BibRef MIT AI-TR-1065, September 1988.
WWW Link. For matching work:
See also Topological Stereo Matcher, A. BibRef

Fleck, M.M.[Margaret M.],
Representing Space for Practical Reasoning,
IVC(6), No. 2, May 1988, pp. 75-86.
Elsevier DOI BibRef 8805
Earlier: Alvey87(275-284). A model of space for both edge and region detection and for reasoning. For matching work:
See also Topological Stereo Matcher, A. BibRef

Ghelli, F.C.[Franco Caroti],
A Sequential Learning Method For Boundary Detection,
PR(21), No. 2, 1988, pp. 131-139.
Elsevier DOI BibRef 8800

Li, Z.N., Zhang, D.,
Fast Line Detection in a Hybrid Pyramid,
PRL(14), 1993, pp. 53-63. BibRef 9300

Pan, X., Lane, D.M.,
A Parallel Method for Locating and Representing 2D Contours,
PRL(13), 1992, pp. 629-637. BibRef 9200

Haig, T.D., Attikiouzel, Y., Alder, M.D.,
Border Following: New Definition Gives Improved Borders,
VISP(139), April 1992, pp. 206-211. BibRef 9204

Premoli, A., Grattoni, P., Pollastri, F.,
A Non-Sequential Contour Detection with a Priori Knowledge,
PRL(9), 1989, pp. 45-51. BibRef 8900

Tambouratzis, T.,
Integrating Artificial and Psychophysical Approaches for Boundary Finding in Line Drawings,
IJIS(10), No. 5, May 1995, pp. 443-457. BibRef 9505

Palmer, P.L., Dabis, H.S., Kittler, J.V.,
A Performance Measure for Boundary Detection Algorithms,
CVIU(63), No. 3, May 1996, pp. 476-494. 9606

DOI Link BibRef
Earlier: ICPR94(A:17-21).
IEEE DOI Evaluation within the context of a line detection system. BibRef

Minsky, D.E.[Dmitry E.], Feigin, M.M.[Mikhail M.],
Optimal Boundary Detection on Grey-Tone Image,
PR(30), No. 6, June 1997, pp. 971-998.
Elsevier DOI 9706
BibRef

Demey, S., Bruyninckx, H., de Schutter, J.,
Model-Based Planar Contour Following in the Presence of Pose and Model Errors,
IJRR(16), No. 6, December 1997, pp. 840-858. 9712
BibRef

Gilson, S.J., Damper, R.I.,
An Empirical-Comparison of Neural Techniques for Edge Linking of Images,
NeurCompApp(6), No. 2, 1997, pp. 64-78. 9801
BibRef

Casadei, S.[Stefano], Mitter, S.K.[Sanjoy K.],
Hierarchical Image Segmentation: Part-I: Detection of Regular Curves in a Vector Graph,
IJCV(27), No. 1, March 1998, pp. 71-100.
DOI Link 9805
BibRef
Earlier:
Hierarchical Curve Reconstruction. Part I: Bifurcation Analysis and Recovery of Smooth Curves,
ECCV96(I:199-208).
Springer DOI Dealing with junctions in edge linking. BibRef

Casadei, S.[Stefano], Mitter, S.K.[Sanjoy K.],
A Hierarchical Approach to High Resolution Edge Contour Reconstruction,
CVPR96(149-154).
IEEE DOI Edges, to segments, to curves, to linked curves BibRef 9600

Casadei, S.[Stefano], Mitter, S.K.[Sanjoy K.], Perona, P.[Pietro],
Boundary detection in piecewise homogeneous textured images,
ECCV92(174-183).
Springer DOI 9205
BibRef

Kenmochi, Y.[Yukiko], Imiya, A.[Atsushi], Ichikawa, A.[Akira],
Boundary Extraction of Discrete Objects,
CVIU(71), No. 3, September 1998, pp. 281-293.
DOI Link BibRef 9809

Hajjar, A., Chen, T.,
A VLSI Architecture for Real-Time Edge Linking,
PAMI(21), No. 1, January 1999, pp. 89-94.
IEEE DOI BibRef 9901

Alzahrani, F.M., Chen, T.,
A Real-Time Edge Detector: Algorithm And VLSI Architecture,
RealTimeImg(3), No. 5, October 1997, pp. 363-378. 9712
BibRef

Tyree, E.W.[Eric W.], Long, J.A.,
The use of linked line segments for cluster representation and data reduction,
PRL(20), No. 1, January 1999, pp. 21-29. BibRef 9901

Yuen, P.C., Feng, G.C., Zhou, J.P.,
A contour detection method: Initialization and contour model,
PRL(20), No. 2, February 1999, pp. 141-148. BibRef 9902

Jonk, A.[Arnold], van den Boomgaard, R.[Rein], Smeulders, A.[Arnold],
Grammatical Inference of Dashed Lines,
CVIU(74), No. 3, June 1999, pp. 212-226.
DOI Link BibRef 9906

Jiang, X.Y.[Xiao-Yi],
An Adaptive Contour Closure Algorithm and Its Experimental Evaluation,
PAMI(22), No. 11, November 2000, pp. 1252-1265.
IEEE DOI 0012
Join across the gaps. BibRef

Guillaud, A.[Anne], Benzinou, A.[Abdessalam], Troadec, H.[Hervé], Rodin, V.[Vincent], Le Bihan, J.[Jean],
Autonomous agents for edge detection and continuity perception on otolith images,
IVC(20), No. 13-14, December 2002, pp. 955-968.
Elsevier DOI 0212
BibRef

Grigorescu, C.[Cosmin], Petkov, N.[Nicolai], Westenberg, M.A.[Michel A.],
Contour detection based on nonclassical receptive field inhibition,
IP(12), No. 7, July 2003, pp. 729-739.
IEEE DOI
PDF File. Wavelet Filter. 0308
BibRef
Earlier:
Improved Contour Detection by Non-classical Receptive Field Inhibition,
BMCV02(50 ff.).
Springer DOI
PDF File. 0303
Receptive field approaches. Inhibition. BibRef

Petkov, N., Westenberg, M.A.,
Suppression of contour perception by band-limited noise and its relation to non-classical receptive field inhibition,
BioCyber(88), 2003, pp. 236-246.
PDF File.
See also Computational models of visual neurons specialised in the detection of periodic and aperiodic oriented visual stimuli: bar and grating cells. BibRef 0300

Grigorescu, C.[Cosmin], Petkov, N.[Nicolai], Westenberg, M.A.[Michel A.],
Contour and boundary detection improved by surround suppression of texture edges,
IVC(22), No. 8, August 2004, pp. 609-622.
Elsevier DOI
PDF File. 0405
BibRef
Earlier:
Contour detection operators based on surround inhibition,
ICIP03(III: 437-440).
IEEE DOI
PDF File. 0312
Context for contours. Surround Suppression. Visual Cortex. BibRef

Ge, S.S., Lai, X.C.[Xue-Cheng], Mamun, A.A.,
Boundary following and globally convergent path planning using instant goals,
SMC-B(35), No. 2, April 2005, pp. 240-254.
IEEE DOI 0508
BibRef

Chan, D.Y.[Din-Yuen], Hsu, R.C.M.[Roy Chao-Ming],
Robust shape-preserving contour tracing with synchronous redundancy pruning,
PRL(29), No. 5, 1 April 2008, pp. 569-579.
Elsevier DOI 0802
Contour tracing; Contour extraction; Object border; Progressive boundary linking; Synchronous redundancy pruning BibRef

Ratschek, H.[Helmut], Rokne, J.[Jon],
Scci-hybrid Methods For 2d Curve Tracing,
IJIG(5), No. 3, July 2005, pp. 447-479. 0507
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Zou, J.[Jie],
Rose Curve Model And An Analytical Solution For Estimating Its Parameters,
IJIG(8), No. 1, January 2008, pp. 99-108. 0801
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Papari, G.[Giuseppe], Petkov, N.[Nicolai],
Edge and line oriented contour detection: State of the art,
IVC(29), No. 2-3, February 2011, pp. 79-103.
Elsevier DOI 1101
Survey, Edge Detection. Contour detection; Preprocessing; Local pattern analysis; Contour salience; Gestalt grouping; Closure; Scale-space; Performance evaluation BibRef

Papari, G.[Giuseppe], Campisi, P.[Patrizio], Petkov, N.[Nicolai],
Steerable Filtering Using Novel Circular Harmonic Functions with Application to Edge Detection,
ICPR10(3947-3950).
IEEE DOI 1008
BibRef

Papari, G.[Giuseppe], Petkov, N.[Nicolai],
An improved model for surround suppression by steerable filters and multilevel inhibition with application to contour detection,
PR(44), No. 9, September 2011, pp. 1999-2007.
Elsevier DOI 1106
Contour detection; Surround suppression; Steerable filters BibRef

Papari, G.[Giuseppe], Campisi, P.[Patrizio], Petkov, N.[Nicolai], Neri, A.,
Contour Detection by Multiresolution Surround Inhibition,
ICIP06(749-752). 0610

IEEE DOI BibRef

Li, S.G.[Shi-Gang],
Edge Point Grouping for Line Detection,
IEICE(E95-D), No. 6, June 2012, pp. 1713-1716.
WWW Link. 1206
BibRef

Payet, N.[Nadia], Todorovic, S.[Sinisa],
SLEDGE: Sequential Labeling of Image Edges for Boundary Detection,
IJCV(104), No. 1, August 2013, pp. 15-37.
WWW Link. 1307
BibRef

Zhang, H.[Hui], Liu, Y.[Yi], Xie, B.[Bojun], Yu, J.[Jian],
Orientation contrast model for boundary detection,
JVCIR(25), No. 5, 2014, pp. 774-784.
Elsevier DOI 1406
BibRef
Earlier: A1, A3, A4, Only:
An improved surround suppression model based on orientation contrast for boundary detection,
ICPR12(3086-3089).
WWW Link. 1302
Orientation contrast BibRef

Chen, Y., Zhang, Y., Yang, J., Cao, Q., Yang, G., Chen, J., Shu, H., Luo, L., Coatrieux, J., Feng, Q.,
Curve-Like Structure Extraction Using Minimal Path Propagation With Backtracking,
IP(25), No. 2, February 2016, pp. 988-1003.
IEEE DOI 1601
Algorithm design and analysis BibRef

Akinlar, C.[Cuneyt], Chome, E.[Edward],
PEL: A Predictive Edge Linking algorithm,
JVCIR(36), No. 1, 2016, pp. 159-171.
Elsevier DOI 1603
Edge detection BibRef

Tang, Q.[Qiling], Sang, N.[Nong], Liu, H.H.[Hai-Hua],
Contrast-dependent surround suppression models for contour detection,
PR(60), No. 1, 2016, pp. 51-61.
Elsevier DOI 1609
Contour detection BibRef

Tang, Q.[Qiling], Sang, N.[Nong], Liu, H.H.[Hai-Hua],
Learning Nonclassical Receptive Field Modulation for Contour Detection,
IP(29), No. , 2020, pp. 1192-1203.
IEEE DOI 1911
Modulation, Visualization, Detectors, Feature extraction, Neurons, Image edge detection, Kernel, Contour detection, multiresolution BibRef

Rasche, C.[Christoph],
Rapid contour detection for image classification,
IET-IPR(12), No. 4, April 2018, pp. 532-538.
DOI Link 1804
Extrema of 4 orientations. BibRef

Rasche, C.[Christoph],
Rapid region analysis for classification,
IET-IPR(14), No. 10, August 2020, pp. 2110-2120.
DOI Link 2008
BibRef

Bucur, D.[Dorin], Fragalà, I.[Ilaria], Giacomini, A.[Alessandro.],
The Multiphase Mumford-Shah Problem,
SIIMS(12), No. 3, 2019, pp. 1561-1583.
DOI Link 1911

See also Optimal Approximations by Piecewise Smooth Functions and Variational Problems. BibRef

Zhang, Q.[Qing], Lin, C.[Chuan], Li, F.Z.[Fu-Zhang],
Application of binocular disparity and receptive field dynamics: A biologically-inspired model for contour detection,
PR(110), 2021, pp. 107657.
Elsevier DOI 2011
Contour detection, Non-classical receptive field, Depth information, Dynamic property BibRef

Kiefer, L.[Lukas], Storath, M.[Martin], Weinmann, A.[Andreas],
An Algorithm for Second Order Mumford-Shah Models Based on a Taylor Jet Formulation,
SIIMS(13), No. 4, 2020, pp. 2307-2360.
DOI Link 2012

See also Optimal Approximations by Piecewise Smooth Functions and Variational Problems. BibRef

Mari, S.S.[S. Sobhana], Raju, G.,
A new framework for contour tracing using Euclidean distance mapping,
IJCVR(11), No. 5, 2021, pp. 542-553.
DOI Link 2109
BibRef

Le, H.T.V.[Hoang Trieu Vy], Foare, M.[Marion], Pustelnik, N.[Nelly],
Proximal Based Strategies for Solving Discrete Mumford-Shah With Ambrosio-Tortorelli Penalization on Edges,
SPLetters(29), 2022, pp. 952-956.
IEEE DOI 2205
Image restoration, Image edge detection, Signal processing algorithms, Minimization, Convergence, TV, proximal algorithms
See also Optimal Approximations by Piecewise Smooth Functions and Variational Problems. BibRef

Meng, J.[Junying], Guo, W.H.[Wei-Hong], Liu, J.[Jun], Yang, M.[Mingrui],
Assembling a Learnable Mumford-Shah Type Model with Multigrid Technique for Image Segmentation,
SIIMS(17), No. 2, 2024, pp. 1007-1039.
DOI Link 2407
BibRef

Shi, T.Y.[Tian-Yi], Ding, X.H.[Xiao-Huan], Zhang, L.[Liang], Yang, X.[Xin],
FreeCOS: Self-Supervised Learning from Fractals and Unlabeled Images for Curvilinear Object Segmentation,
ICCV23(876-886)
IEEE DOI Code:
WWW Link. 2401
BibRef

Zach, C.[Christopher], Häne, C.[Christian],
Discretized Convex Relaxations for the Piecewise Smooth Mumford-Shah Model,
EMMCVPR17(548-563).
Springer DOI 1805

See also Optimal Approximations by Piecewise Smooth Functions and Variational Problems. BibRef

Teo, C.L.[Ching L.], Fermuller, C.[Cornelia], Aloimonos, Y.[Yiannis],
Fast 2D border ownership assignment,
CVPR15(5117-5125)
IEEE DOI 1510
build on structured random forest boundary extraction. BibRef

Shen, W.[Wei], Wang, X.G.[Xing-Gang], Wang, Y.[Yan], Bai, X.[Xiang], Zhang, Z.J.[Zhi-Jiang],
DeepContour: A deep convolutional feature learned by positive-sharing loss for contour detection,
CVPR15(3982-3991)
IEEE DOI 1510
BibRef

Kimm, H.[Haklin], Abolhassani, N.[Neda], Lee, E.J.[Eun-Joo],
Comparative Evaluation of Edge Linking Methods Using Markov Chain and Regression Applied Heuristic,
CASI14(1014-1021).
Springer DOI 1411
BibRef

Kee, Y.[Youngwook], Kim, J.[Junmo],
A Convex Relaxation of the Ambrosio-Tortorelli Elliptic Functionals for the Mumford-Shah Functional,
CVPR14(4074-4081)
IEEE DOI 1409

See also Optimal Approximations by Piecewise Smooth Functions and Variational Problems. AmbrosioTortorelli approximation BibRef

Pavez, R.[Rodrigo], Mora, M.[Marco], Gonzalez, P.[Paulo],
Objective Comparison of Contour Detection in Noisy Images,
CIARP11(599-606).
Springer DOI 1111
BibRef

Qu, Z.G.[Zhi-Guo], Wang, P.[Ping], Gao, Y.H.[Ying-Hui], Wang, P.[Peng], Shen, Z.K.[Zhen-Kang],
Contour detection based on SUSAN principle and surround suppression,
ICIP10(1937-1940).
IEEE DOI 1009
BibRef

Doucette, P., Martin, A., Kavanagh, C., McIntyre, T., Barton, S., Grodecki, J., Malitz, S., Tang, M., Nolting, J.,
Evaluation methods for curvilinear feature extraction,
AIPR09(1-6).
IEEE DOI 0910
More roads. BibRef

Li, Y.[Yuan], Zhang, J.Z.[Jian-Zhou], Jiang, P.[Ping],
Contour Extraction Based on Surround Inhibition and Contour Grouping,
ACCV09(II: 687-696).
Springer DOI 0909
BibRef

Lou, L.T.[Lian-Tang], Zhan, X.[Xin], Fu, Z.L.[Zhong-Liang], Ding, M.Y.[Ming-Yue],
Method of Boundary Extraction Based on Schrödinger Equation,
ISPRS08(B5: 813 ff).
PDF File. 0807
BibRef

Joshi, G.D.[Gopal Datt], Sivaswamy, J.[Jayanthi],
A Computational Model for Boundary Detection,
ICCVGIP06(172-183).
Springer DOI 0612
BibRef

Köthe, U.[Ullrich], Stelldinger, P.[Peer], Meine, H.[Hans],
Provably Correct Edgel Linking and Subpixel Boundary Reconstruction,
DAGM06(81-90).
Springer DOI 0610
BibRef

Lei, D.B.[De-Bin], Pan, C.H.[Chun-Hong], Yang, Q.[Qing], Shi, M.Y.[Min-Yong],
Interactive Contour Extraction Using NURBS-HMM,
ACCV06(I:858-867).
Springer DOI 0601
BibRef

Tsuji, H., Saito, S., Takahashi, H., Nakajima, M.,
Estimating Object Contours from Binary Edge Images,
ICIP05(III: 453-456).
IEEE DOI 0512
BibRef

Hugues, E.[Etienne], Guilleux, F.[Florent], Rochel, O.[Olivier],
Contour Detection by Synchronization of Integrate-and-Fire Neurons,
BMCV02(60 ff.).
Springer DOI 0303
BibRef

Mundhenk, T.N.[T. Nathan], Itti, L.[Laurent],
A Model of Contour Integration in Early Visual Cortex,
BMCV02(80 ff.).
Springer DOI 0303
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Chabbi, H., Theller, L., Paris, S.,
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Chapter on Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform continues in
Improving Edges by Neighborhood Processing, Relaxation, Multi-Scale .