6.3 Boundaries - More Than Simple Edge Points, Linking

Chapter Contents (Back)
Edge Linking. Edges, Extended. Boundary Detection.

Morse, S.P.,
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CACM(12), No. 3, March 1969, pp. 147-152. BibRef 6903

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Hashimoto, M., Sankar, P.V., Sklansky, J.,
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Towfig, F., Sklansky, J.,
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Costabile, M.F., Pieroni, G.G.,
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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.
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Nagata, M.[Motoyasu],
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PR(14), No. 1-6, 1981, pp. 275-282.
Elsevier DOI 0309

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

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CVGIP(26), No. 3, June 1984, pp. 400-411.
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Shipman, A.L., Bitmead, R.R., Allen, G.H.,
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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
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
PDF File. 9109

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.],
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IJCV(5), No. 3, December 1990, pp. xx-yy.
Springer DOI 9012

Zucker, S.W., David, C., Dobbins, A., and Iverson, L.,
The Organization of Curve Detection: Coarse Tangent Fields and Fine Spline Coverings,
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Dubuc, B.[Benoit], Zucker, S.W.[Steven W.],
Indexing Visual Representations Through the Complexity Map,
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Dubuc, B.[Benoit], Zucker, S.W.[Steven W.],
Curve-like sets, normal complexity, and representation,

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],
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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.,
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GMIP(56), No. 3, May 1994, pp. 189-204. BibRef 9405

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PR(26), No. 7, July 1993, pp. 1069-1086.
Elsevier DOI BibRef 9307

Herault, L., Horaud, R.,
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AMAI(13), No. 3-4, 1995, pp. 281-300. BibRef 9500

Veltkamp, R.C.,
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GMIP(57), No. 6, November 1995, pp. 441-452. BibRef 9511

Belkasim, S.O., Shridhar, M., Ahmadi, M.,
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AI(80), No. 1, February 1996, pp. 1-27.
Elsevier DOI BibRef 9602
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.],
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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.,
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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.],
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PR(30), No. 6, June 1997, pp. 971-998.
Elsevier DOI 9706

Demey, S., Bruyninckx, H., de Schutter, J.,
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IJRR(16), No. 6, December 1997, pp. 840-858. 9712

Gilson, S.J., Damper, R.I.,
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NeurCompApp(6), No. 2, 1997, pp. 64-78. 9801

Casadei, S.[Stefano], Mitter, S.K.[Sanjoy K.],
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IJCV(27), No. 1, March 1998, pp. 71-100.
DOI Link 9805
Hierarchical Curve Reconstruction. Part I: Bifurcation Analysis and Recovery of Smooth Curves,
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,
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,
Springer DOI 9205

Kenmochi, Y.[Yukiko], Imiya, A.[Atsushi], Ichikawa, A.[Akira],
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CVIU(71), No. 3, September 1998, pp. 281-293.
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Hajjar, A., Chen, T.,
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PAMI(21), No. 1, January 1999, pp. 89-94.
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Alzahrani, F.M., Chen, T.,
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IVC(20), No. 13-14, December 2002, pp. 955-968.
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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.
PDF File. Wavelet Filter. 0308
Improved Contour Detection by Non-classical Receptive Field Inhibition,
BMCV02(50 ff.).
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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.
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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
Contour detection operators based on surround inhibition,
ICIP03(III: 437-440).
PDF File. 0312
Context for contours. Surround Suppression. Visual Cortex. BibRef

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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,
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Zou, J.[Jie],
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Papari, G.[Giuseppe], Petkov, N.[Nicolai],
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Survey, Edge Detection. Contour detection; Preprocessing; Local pattern analysis; Contour salience; Gestalt grouping; Closure; Scale-space; Performance evaluation BibRef

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Steerable Filtering Using Novel Circular Harmonic Functions with Application to Edge Detection,

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.
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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


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

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

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
Earlier: A1, A3, A4, Only:
An improved surround suppression model based on orientation contrast for boundary detection,
WWW Link. 1302
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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.
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.
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

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

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.
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

Zach, C.[Christopher], Häne, C.[Christian],
Discretized Convex Relaxations for the Piecewise Smooth Mumford-Shah Model,
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,
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,

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

Kee, Y.[Youngwook], Kim, J.[Junmo],
A Convex Relaxation of the Ambrosio-Tortorelli Elliptic Functionals for the Mumford-Shah Functional,

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,
Springer DOI 1111

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,

Doucette, P., Martin, A., Kavanagh, C., McIntyre, T., Barton, S., Grodecki, J., Malitz, S., Tang, M., Nolting, J.,
Evaluation methods for curvilinear feature extraction,
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

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

Joshi, G.D.[Gopal Datt], Sivaswamy, J.[Jayanthi],
A Computational Model for Boundary Detection,
Springer DOI 0612

Köthe, U.[Ullrich], Stelldinger, P.[Peer], Meine, H.[Hans],
Provably Correct Edgel Linking and Subpixel Boundary Reconstruction,
Springer DOI 0610

Lei, D.B.[De-Bin], Pan, C.[Chunhong], Yang, Q.[Qing], Shi, M.[Minyong],
Interactive Contour Extraction Using NURBS-HMM,
Springer DOI 0601

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

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

Mundhenk, T.N.[T. Nathan], Itti, L.[Laurent],
A Model of Contour Integration in Early Visual Cortex,
BMCV02(80 ff.).
Springer DOI 0303

Chabbi, H., Theller, L., Paris, S.,
Automatic detection of planar contours from uncalibrated images,
ICPR02(III: 541-544).

Cao, F.[Frederic],
Good continuations in digital image level lines,
Find unexpectedly smooth curves. BibRef

Cao, F.[Frederic],
Contrast Invariant Detection of Good Continuations, Corners and Terminators,
INRIARR-4542, September 2002.
HTML Version. 0211

Bovyrin, A.V.,
Fast extraction of scene structure based on gradient runs analysis,
ICIP02(I: 757-760).

Shen, J.H.[Jian-Hong],
The Mumford-Shah digital filter pair (MS-DFP) and applications,
ICIP02(II: 849-852).
denoising, segmentation, inpainting.
See also Optimal Approximations by Piecewise Smooth Functions and Variational Problems. BibRef

Jong, H.H.[Hsin-Haw], Wu, Z.H.[Zong-Han], Wang, S.J.[Sheng-Jyh],
The Extraction and Linking of Brink Points in an Image,
IEEE Abstract. BibRef 9900

Abrantes, A.J., Marques, J.S.,
Pattern Recognition Methods for Object Boundary Detection,
BMVC98(xx-yy). BibRef 9800
Exploiting the common structure of some edge linking algorithms: An experimental study,
ICIP95(III: 624-627).

Floreby, L.[Lars], Sornmo, L.[Leif], Sjogreen, K.[Katarina],
Boundary Finding Using Fourier Surfaces of Increasing Order,
ICPR98(Vol I: 465-467).
simulated medical images. BibRef

Lim, G.[Gek], Alder, M.D.[Michael D.],
A Nonparametric Approach for Detecting Lines and Curves,
ICIP96(I: 837-840).
IEEE DOI BibRef 9600

Hoover, A.[Adam], Goldbaum, M.,
Fuzzy Convergence,
IEEE DOI Finding where lines merge or join. BibRef 9800

Kalitzin, S.N., ter Haar Romeny, B.M., Viergever, M.A.,
Detection of elongated structures by using invertible angular representations of scalar images,
ICIP98(III: 60-64).

Bonnin, P., Hoeltzener-Douarin, B., Pissaloux, E.E.,
A data parallel implementation of an edge point chaining: towards a new principle of edge linking,
ICIP96(II: 141-144).

Salotti, M.[Marc], Hatimi, M.[Mostafa],
A new heuristic search for boundary detection,
Springer DOI 9509

Mikhail, E.M.[Edward M.],
Linear Features for Photogrammetric Restitution and Object Completion,
SPIE(1944), April 1993, pp. 16-30. BibRef 9304

Kong, B., et al.,
A Benchmark: Performance Evaluation of Dashed Line Detection Algorithms,
GRMA95(xx). BibRef 9500

Dori, D., Liu, W.Y.[Wen-Yin], Peleg, M.,
How to Win a Dashed Line Detection Contest,
GRMA95(xx) BibRef 9500

Strathy, N.W., Said, F., Suen, C.Y.,
A Sequential Method of Extracting Contour Chains from an Image,
IEEE DOI BibRef 9400

Ungureanu, D.O., Prosmans, M., Van Gool, L.J.[Luc J.], Oosterlinck, A., Zegers, J., Decaluwe, J.,
A real-time edge linker,

Revankar, S., Sher, D.,
Constrained contouring in polar coordinates,
Outline region of interest by linking edge points. BibRef

de Beauville, J.P.A.[J. P. Asselin], Mraghni, M.C.,
Contour-Detection using the shape of the nearest neighbors Set (NN-Set),
Springer DOI 9309

Otte, M., Nagel, H.H.,
Extraction of Line Drawings from Gray Value Images by Non-Local Analysis of Edge Element Structures,
Springer DOI BibRef 9200

Liu, S.M., Lin, N.C., Liang, C.C.,
An Iterative Edge Linking Algorithm with Noise Removal Capability,
ICPR88(II: 1120-1122).
IEEE DOI BibRef 8800

Diamond, M.D., Narasimhamurthy, N., Ganapathy, S.,
Optimization Approaches to the Problem of Edge Linking with a Focus on Parallel Processing,
IJCAI83(1003-1009). BibRef 8300

Chapter on Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform continues in
Improving Edges by Neighborhood Processing, Relaxation, Multi-Scale .

Last update:Nov 30, 2023 at 15:51:27