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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Earlier: A1, A2: UMDGSFC TR 70-128, August 1970. BibRef

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And:
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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.,
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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],
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PR(14), No. 1-6, 1981, pp. 275-282.
Elsevier DOI 0309
BibRef

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

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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.],
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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.],
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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.,
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David, C.[Chantal], Zucker, S.W.[Steven W.],
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IJCV(5), No. 3, December 1990, pp. xx-yy.
Springer DOI 9012
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Zucker, S.W., David, C., Dobbins, A., and Iverson, L.,
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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.],
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ICCV95(142-149).
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Dubuc, B.[Benoit], Zucker, S.W.[Steven W.],
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ICPR94(A:216-221).
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Ashkan, G., Modestino, J.W.,
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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.,
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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.,
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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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And: CMetImAly77(217-227). BibRef

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

Pingle, K.K., Tenenbaum, J.M.,
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IJCAI71(1-7). BibRef 7100

Griffin, H.[Hugh],
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US_Patent4,897,719, Jan 30, 1990
WWW Link. linked boundary BibRef 9001

Cole, R., Vishkin, U.,
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Gupta, A.K.[Arbind K.], Chaudhury, S.[Santanu], Parthasarathy, G.[Guturu],
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Herault, L., Horaud, R.,
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Veltkamp, R.C.,
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AI(80), No. 1, February 1996, pp. 1-27.
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Earlier:
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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],
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PR(21), No. 2, 1988, pp. 131-139.
Elsevier DOI BibRef 8800

Li, Z.N., Zhang, D.,
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PRL(14), 1993, pp. 53-63. BibRef 9300

Pan, X., Lane, D.M.,
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PRL(13), 1992, pp. 629-637. BibRef 9200

Haig, T.D., Attikiouzel, Y., Alder, M.D.,
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VISP(139), April 1992, pp. 206-211. BibRef 9204

Premoli, A., Grattoni, P., Pollastri, F.,
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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.,
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CVIU(63), No. 3, May 1996, pp. 476-494. 9606

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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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Elsevier DOI 9706
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Demey, S., Bruyninckx, H., de Schutter, J.,
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Gilson, S.J., Damper, R.I.,
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Earlier:
Hierarchical Curve Reconstruction. Part I: Bifurcation Analysis and Recovery of Smooth Curves,
ECCV96(I:199-208).
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Casadei, S.[Stefano], Mitter, S.K.[Sanjoy K.],
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Hajjar, A., Chen, T.,
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Alzahrani, F.M., Chen, T.,
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Petkov, N., Westenberg, M.A.,
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Ge, S.S., Lai, X.C.[Xue-Cheng], Mamun, A.A.,
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Elsevier DOI 0802
Contour tracing; Contour extraction; Object border; Progressive boundary linking; Synchronous redundancy pruning BibRef

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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,
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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],
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IET-IPR(12), No. 4, April 2018, pp. 532-538.
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SIIMS(12), No. 3, 2019, pp. 1561-1583.
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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,
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Contour detection, Non-classical receptive field, Depth information, Dynamic property BibRef

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An Algorithm for Second Order Mumford-Shah Models Based on a Taylor Jet Formulation,
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Mari, S.S.[S. Sobhana], Raju, G.,
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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,
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Image restoration, Image edge detection, Signal processing algorithms, Minimization, Convergence, TV, proximal algorithms
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Wei, X.[Xi], Shi, Z.X.[Zhang-Xiang], Zhang, T.Z.[Tian-Zhu], Yu, X.Y.[Xiao-Yuan], Xiao, L.[Lei],
Multimodal High-order Relation Transformer for Scene Boundary Detection,
ICCV23(22024-22033)
IEEE DOI 2401
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:
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Zach, C.[Christopher], Häne, C.[Christian],
Discretized Convex Relaxations for the Piecewise Smooth Mumford-Shah Model,
EMMCVPR17(548-563).
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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
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Kimm, H.[Haklin], Abolhassani, N.[Neda], Lee, E.J.[Eun-Joo],
Comparative Evaluation of Edge Linking Methods Using Markov Chain and Regression Applied Heuristic,
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Springer DOI 1411
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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
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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,
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Doucette, P., Martin, A., Kavanagh, C., McIntyre, T., Barton, S., Grodecki, J., Malitz, S., Tang, M., Nolting, J.,
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More roads. BibRef

Li, Y.[Yuan], Zhang, J.Z.[Jian-Zhou], Jiang, P.[Ping],
Contour Extraction Based on Surround Inhibition and Contour Grouping,
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Springer DOI 0909
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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
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Joshi, G.D.[Gopal Datt], Sivaswamy, J.[Jayanthi],
A Computational Model for Boundary Detection,
ICCVGIP06(172-183).
Springer DOI 0612
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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.[Chunhong], Yang, Q.[Qing], Shi, M.[Minyong],
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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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 16, 2024 at 20:36:19