6.3 Boundaries - More Than Simple Edge Points, Linking

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

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

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

Sidhu, G.S., Boute, R.T.,
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TC(21), No. 11, November 1972, pp. 1206-1215. BibRef 7211

Shirai, Y.,
A Context Sensitive Line Finder for Recognition of Polyhedra,
AI(4), No. 2, June 1973, pp. 95-119.
WWW Link. BibRef 7306
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.,
Extraction of Line Structures from Photographs of Curved Objects,
CGIP(4), No. 2, June 1975, pp. 81-103.
WWW Link. BibRef 7506

Ramer, E.U.,
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.
WWW Link. 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.
WWW Link. BibRef 8100

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

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

Suk, M., Song, O.,
Curvilinear Feature Extraction Using Minimum Spanning Trees,
CVGIP(26), No. 3, June 1984, pp. 400-411.
WWW Link. 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.], and 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., and Siy, P.,
Forward / Backward Contour Tracing with Feedback,
PAMI(9), No. 3, May 1987, pp. 438-446. BibRef 8705

Grattoni, P., Pollastri, E., Premoli, A.,
A Contour Detection Algorithm Based on the Minimum Radial Inertia (MRI) Criterion,
CVGIP(43), No. 1, July 1988, pp. 22-36.
WWW Link. BibRef 8807

Parent, P.[Pierre], and Zucker, S.W.,
Trace Inference, Curvature Consistency, and Curve Detection,
PAMI(11), No. 8, August 1989, pp. 823-839.
IEEE DOI Infer the actual curve by combining locality, direction, and smoothness to get good curves. BibRef 8908

Zucker, S.W., Parent, P.[Pierre],
Multiple-Size Operators and Optimal Curve Finding,
ICPR82(745-747). BibRef 8200

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

Donahue, M.J., and Rokhlin, S.I.,
On the Use of Level Curves in Image Analysis,
CVGIP(57), No. 2, March 1993, pp. 185-203.
WWW 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

Zucker, S.W., David, C., Dobbins, A., and Iverson, L.,
The Organization of Curve Detection: Coarse Tangent Fields and Fine Spline Coverings,
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,
IEEE DOI BibRef 9500

Dubuc, B.[Benoit], Zucker, S.W.[Steven W.],
Curve-like sets, normal complexity, and representation,

Ashkan, G., and Modestino, J.W.,
The Contour Extraction Problem and Biomedical Applications,
CGIP(7), No. 3, June 1978, pp. 331-355.
WWW Link. 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., and 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., and 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. BibRef

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

Martelli, A.,
Edge Detection Using Heuristic Methods,
CGIP(1), No. 2, August 1972, pp. 169-182.
WWW Link. BibRef 7208

Pingle, K.K., and 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., Chaudhury, S., Parthasarathy, G.,
A New Approach for Aggregating Edge Points into Line Segments,
PR(26), No. 7, July 1993, pp. 1069-1086.
WWW Link. 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.,
The Topology of Boundaries,
AI(80), No. 1, February 1996, pp. 1-27.
WWW Link. 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.,
Representing Space for Practical Reasoning,
IVC(6), No. 2, May 1988, pp. 75-86.
WWW Link. 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.,
A Sequential Learning Method For Boundary Detection,
PR(21), No. 2, 1988, pp. 131-139.
WWW Link. 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., and 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., and 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., Feigin, M.M.,
Optimal Boundary Detection on Grey-Tone Image,
PR(30), No. 6, June 1997, pp. 971-998.
WWW Link. 9706

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

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

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
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],
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

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.
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.
WWW Link. 0212

Kammerer, P., Glantz, R.,
Segmentation of brush strokes by saliency preserving dual graph contraction,
PRL(24), No. 8, May 2003, pp. 1043-1050.
WWW Link. 0304

Kammerer, P.[Paul], Zolda, E.[Ernestine], Melzer, T.[Thomas],
Stroke Detection of Brush Strokes in Portrait Miniatures Using a Semi-Parametric and a Model Based Approach,
ICPR98(Vol I: 474-476).

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.).
Springer DOI
PDF File. 0303
Receptive field approaches. Inhibition. BibRef

Petkov, N., and 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.
WWW Link.
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

González Velasco, H.M.[Horacio M.], García Orellana, C.J.[Carlos J.], Macías Macías, M.[Miguel], López Aligué, F.J.[F. Javier], Acevedo Sotoca, M.I.[M. Isabel],
Neural-networks-based edges selector for boundary extraction problems,
IVC(22), No. 13, 1 November 2004, pp. 1129-1135.
WWW Link. 0410
Remove background edges before generating the boundary representation. 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.

Chan, D.Y.[Din-Yuen], Hsu, R.C.[Roy Chaoming],
Robust shape-preserving contour tracing with synchronous redundancy pruning,
PRL(29), No. 5, 1 April 2008, pp. 569-579.
WWW Link. 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

Zou, J.[Jie],
Rose Curve Model And An Analytical Solution For Estimating Its Parameters,
IJIG(8), No. 1, January 2008, pp. 99-108. 0801

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,

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


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
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.
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

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], and 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:Mar 13, 2017 at 16:25:24