Zucker, S.W.,
Hummel, R.A., and
Rosenfeld, A.,
An Application of Relaxation Labeling to Line and Curve Enhancement,
TC(26), No. 4, April 1977, pp. 394-403.
BibRef
7704
And:
Correction:
TC(26), pp. 922-929.
BibRef
Zucker, S.W., and
Mohammed, J.L.,
A Hierarchical Relaxation System for Line Labeling and Grouping,
PRIP78(410-415).
Edge Linking. Applied to lines and edges, two levels - assign oriented line
segment labels, and consider the linking structure given by a
specific model. The updating function is a bit different for the two
relaxations, but both are the same basic form.
BibRef
7800
Schachter, B.J.,
Lev, A.,
Zucker, S.W., and
Rosenfeld, A.,
An Application of Relaxation to Edge Reinforcement,
SMC(7), 1977, pp. 813-816.
BibRef
7700
Peleg, S., and
Rosenfeld, A.,
Determining Compatibility Coefficients for Curve Enhancement
Relaxation Processes,
SMC(8), No. 7, 1978, pp. 548-555.
BibRef
7800
Narayanan, K.A.,
O'Leary, D.P.,
Rosenfeld, A.,
An Optimization Approach to Edge Reinforcement,
SMC(12), No. 4, July/August 1982, pp. 551-553.
BibRef
8207
Ehrich, R.W.,
Schroeder, F.H.,
Contextual Boundary Formation by One-dimensional Edge Detection
and Scan Line Matching,
CGIP(16), No. 2, June 1981, pp. 116-149.
WWW Version.
BibRef
8106
Cooper, D.B.,
Elliot, H.,
Choen, F.S., and
Symosek, P.F.,
Stochastic Boundary Estimation and Object Recognition,
CGIP(12), No. 4, April 1980, pp. 326-356.
WWW Version.
BibRef
8004
Cooper, D.B.,
Elliot, H.,
A Maximum Likelihood Framework for Boundary Estimation,
PRIP78(25-31)
BibRef
7800
Zabele, G.S.,
Koplowitz, J.,
On Improving Line Detection in Noisy Images,
CGIP(15), No. 2, February 1981, pp. 130-135.
WWW Version.
BibRef
8102
Earlier:
PRIP79(146-149).
BibRef
Shanmugan, K.S.,
Paul, C.,
A Fast Edge Thinning Operator,
SMC(12), No. 4, July/August 1982, pp. 567-569.
BibRef
8207
Paler, K.,
Kittler, J.V.,
Grey Level Edge Thinning: A New Method,
PRL(1), 1983, pp. 409-416.
BibRef
8300
Lacroix, V.,
A Three-Module Strategy for Edge Detection,
PAMI(10), No. 6, November 1988, pp. 803-810.
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
8811
And:
Reply to comments:
PAMI(12), No. 2, February 1990, pp. 224.
Compute edge strength, Generalized non-maximal deletion, Follow edges.
BibRef
Park, R.H., and
Choi, W.Y.,
Comments on 'A Three-Module Strategy for Edge Detection',
PAMI(12), No. 2, February 1990, pp. 223-224.
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
9002
Geman, D., and
Reynolds, G.,
Constrained Restoration and the Recovery of Discontinuities,
PAMI(14), No. 3, March 1992, pp. 367-383.
IEEE Abstract. IEEE Top Reference.
WWW Version. Image restoration issues.
BibRef
9203
Geman, D.,
Geman, S.,
Graffigne, C., and
Dong, P.,
Boundary Detection by Constrained Optimization,
PAMI(12), No. 7, July 1990, pp. 609-628.
IEEE Abstract. IEEE Top Reference.
WWW Version. Application of an iterative technique to refine the
boundary point positions.
BibRef
9007
Geman, D.,
Stochastic Model for Boundary Detection,
IVC(5), No. 2, May 1987, pp. 61-65.
WWW Version.
BibRef
8705
Leung, E.,
Li, X.,
Parallel Processing Approaches To Edge Relaxation,
PR(21), No. 6, 1988, pp. 547-558.
WWW Version.
BibRef
8800
Hancock, E.R., and
Kittler, J.V.,
Edge-Labeling Using Dictionary-Based Relaxation,
PAMI(12), No. 2, February 1990, pp. 165-181.
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
9002
And:
A Label Error Process for Discrete Relaxation,
ICPR90(I: 523-528).
WWW Version. See also Combining Evidence in Probabilistic Relaxation.
BibRef
Papachristou, P.,
Petrou, M.,
Kittler, J.V.,
Edge Postprocessing Using Probabilistic Relaxation,
SMC-B(30), No. 3, June 2000, pp. 383-402.
IEEE Top Reference.
0006
BibRef
Earlier: A2, A1, A3:
Error propagation analysis for edge postprocessing,
ICIP96(I: 861-864).
WWW Version.
9610
BibRef
Earlier: A3, A1, A2:
Combining Evidence in Dictionary Based Probabilistic Relaxation,
SCIA93(785-795).
BibRef
Kittler, J.V.,
Papachristou, P.,
Petrou, M.,
Contextual Postprocessing for Line Detection,
SCIA93(1-2).
BibRef
9300
Hancock, E.R.,
Haindl, M.,
Kittler, J.V.,
A Hierarchical Evidence Combining Edge Detection,
CIAP91(494-501).
BibRef
9100
Hatef, M.[Mohamad],
Kittler, J.V.[Josef V.],
Constraining probabilistic relaxation with symbolic attributes,
CAIP95(862-867).
WWW Version.
9509
BibRef
Hancock, E.R.,
Haindl, M.,
Kittler, J.V.,
Multiresolution Edge Labelling Using Hierarchical Relaxation,
ICPR92(II:140-144).
WWW Version.
BibRef
9200
Hancock, E.R.,
Kittler, J.V.,
Relaxational Refinement of Intensity Ridges,
ICPR92(III:759-763).
WWW Version.
BibRef
9200
Hancock, E.R.,
Resolving Edge-Line Ambiguities Using Probabilistic Relaxation,
CVPR93(300-306).
IEEE Abstract. IEEE Top Reference. Edge suppression in line detection.
BibRef
9300
Beymer, D.J.[David J.],
Finding Junctions Using the Image Gradient,
CVPR91(720-721).
IEEE Abstract. IEEE Top Reference.
BibRef
9100
And:
MIT AI Memo-1266, December 1991.
WWW Version. Or:
Postscript Version. Add junction detection to the standard edge detection.
BibRef
Hadingham, P.T.,
Symbolic Description of Edges Using a Geometric Relaxation Technique,
PRL(7), 1988, pp. 173-179.
BibRef
8800
Kundu, A.,
Mitra, S.K.,
A New Algorithm for Image Edge Extraction Using a
Statistical Classifier Approach,
PAMI(9), No. 4, July 1987, pp. 569-577.
BibRef
8707
Kundu, A.,
Robust Edge Detection,
PR(23), No. 5, 1990, pp. 423-440.
BibRef
9000
Earlier:
CVPR89(11-18).
IEEE Abstract. IEEE Top Reference. Improve the edge detector results by 2 steps of edge detection and supression
of spurious edges.
BibRef
Duncan, J.S., and
Birkholzer, T.,
Edge Reinforcement Using Parameterized Relaxation Labeling,
PAMI(14), No. 5, May 1992, pp. 502-515.
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
9205
Earlier:
CVPR89(19-27).
IEEE Abstract. IEEE Top Reference. Relaxation applied to continuous output, e.g. direction with
parameterized values (an oriented ellipse).
BibRef
Tan, H.L.,
Gelfand, S.B., and
Delp, E.J.,
A Comparative Cost Function Approach to Edge Detection,
SMC(19), No. 6, Nov/Dec 1989, pp. 1337-1349.
BibRef
8900
Tan, H.L.,
Gelfand, S.B., and
Delp, E.J.,
A Cost Minimization Approach to Edge Detection Using
Simulated Annealing,
PAMI(14), No. 1, January 1992, pp. 3-18.
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
9201
Earlier:
CVPR89(86-91).
IEEE Abstract. IEEE Top Reference.
BibRef
Yoo, J.S.,
Bouman, C.A.,
Delp, E.J.,
Coyle, E.J.,
The Nonlinear Prefiltering and Differences of Estimates Approaches to
Edge Detection: Applications of Stack Filters,
GMIP(55), No. 2, March 1993, pp. 140-yy.
BibRef
9303
Yoo, J.S.,
Coyle, E.J.,
Bouman, C.A.,
Dual Stack Filters and the Modified Difference of
Estimates Approach to Edge Detection,
IP(6), No. 12, December 1997, pp. 1634-1645.
WWW Version.
9712
BibRef
Iyengar, S.S.,
Deng, W.A.,
An Efficient Edge-Detection Algorithm Using
Relaxation Labeling Technique,
PR(28), No. 4, April 1995, pp. 519-536.
WWW Version.
BibRef
9504
Krishnakumar, N.,
Iyengar, S.S.[S. Sitharama],
Holyer, R.[Ron],
Lybanon, M.[Matthew],
Feature labelling in infrared oceanographic images,
IVC(8), No. 2, May 1990, pp. 142-147.
WWW Version.
0401non-linear probabilistic relaxation method.
BibRef
Deng, W.[Weian],
Iyengar, S.S.[S. Sitharama],
A New Probabilistic Relaxation Scheme and Its
Application to Edge-Detection,
PAMI(18), No. 4, April 1996, pp. 432-437.
IEEE Abstract. IEEE Top Reference.
WWW Version.
9605Dictionary scheme.
BibRef
Chen, W.C.,
Thacker, N.A.,
Rockett, P.I.,
Adaptive Step-Edge Model for Self-Consistent Training of
Neural-Network for Probabilistic Edge Labeling,
VISP(143), No. 1, February 1996, pp. 41-50.
BibRef
9602
Bolton, A.G.,
Brown, S.F.,
Moran, W.,
A Computationally Efficient Algorithm for
Enhancing Linear Features in Images,
PR(29), No. 12, December 1996, pp. 2017-2023.
WWW Version.
9701
BibRef
Xie, M.,
Edge Linking by Using Causal Neighborhood Window,
PRL(13), 1992, pp. 647-656.
BibRef
9200
Lu, S.,
Szeto, A.,
Improving Edge Measurement on Noisy Images by
Hierarchical Neural Networks,
PRL(12), 1991, pp. 155-164.
BibRef
9100
Pedersini, F.[Federico],
Sarti, A.[Augusto],
Tubaro, S.[Stefano],
Improving the performance of edge localization techniques through error
compensation,
SP:IC(12), No. 1, March 1998, pp. 33-47.
WWW Version.
BibRef
9803
Petit, E.,
Lemoine, J.,
Djeziri, S.,
An adaptative method to smooth discrete curves proposed as a final step
for edge detection,
IVC(19), No. 3, February 2001, pp. 145-152.
WWW Version.
0103
BibRef
Tek, H.[Hüseyin],
Kimia, B.B.[Benjamin B.],
Boundary Smoothing via Symmetry Transforms,
JMIV(14), No. 3, May 2001, pp. 211-223.
WWW Version.
0106Process the boundary to fill gaps and remove spurious points. Uses
MAT or skeleton transformations.
BibRef
Tek, H.[Huseyin],
Kimia, B.B.[Benjamin B.],
Perceptual Organization via the Symmetry Map and Symmetry Transforms,
CVPR99(II: 471-477).
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
9900
Lu, D.S.[De-Sian],
Chen, C.C.[Chien-Chang],
Edge detection improvement by ant colony optimization,
PRL(29), No. 4, 1 March 2008, pp. 416-425.
WWW Version.
0711Edge detection; Ant colony optimization (ACO); Pheromone trail
BibRef
Zhou, L.X.[Ling-Xiang],
Gu, W.K.[Wei-Kang],
1st and 2nd order recursive operators for adaptive edge detection,
CAIP97(511-518).
WWW Version.
9709
BibRef
Earlier:
A Fast Algorithm for Adaptive Edge Detection,
ICPR96(B71.1).
9608(Zhejiang Univ., PRC)
BibRef
Levy, M.,
A New Theoretical Approach to Relaxation, Application to
Edge Detection,
ICPR88(I: 208-212).
WWW Version.
IEEE Top Reference.
BibRef
8800
Chapter on Detection and Analysis of Edges, Lines, Curves, Corners, Hough Transform continues in
Line Detectors, Direct Detection of Straight Lines .