6.1.2 Basic Edge Operators

Dollar, P.,
Structured edge detection toolbox,

WWW Link. Code, Edge Detection. BibRef 0000

Mascarenhas, N.D.A., Prado, L.O.C.,
A Bayesian Approach to Edge Detection in Images,
AC(25), 1980, pp. 36-43. BibRef 8000
Earlier:
Edge Detection in Images: A Hypothesis Testing Approach,
ICPR78(707-709). BibRef

Basseville, M., Espiau, B., Gasnier, J.,
Edge Detection Using Sequential Methods for Change in Level - Part I: A Sequential Edge Detection Algorithm,
ASSP(29), No. 1, 1981, pp. 24-31. BibRef 8100

Basseville, M.,
Edge Detection Using Sequential Methods for Change in Level - Part II: Sequential Detection of Change in Mean,
ASSP(29), No. 1, 1981, pp. 32-50. BibRef 8100

Jacobus, C.J., Chien, R.T.,
Two New Edge Detectors,
PAMI(3), No. 5, September 1981, pp. 581-592. BibRef 8109

Pitas, I., Venetsanopoulos, A.N.,
Edge Detectors Based on Nonlinear Filters,
PAMI(8), No. 4, July 1986, pp. 538-550.
See also Nonlinear Mean Filters in Image Processing. BibRef 8607

Davies, E.R.,
Circularity: A New Principle Underlying the Design of Accurate Edge Orientation Operators,
IVC(2), No. 3, August 1984, pp. 134-142.
Elsevier DOI BibRef 8408
Earlier:
Estimation of Edge Orientation by Template Matching,
ICPR84(49-51). BibRef

Kay, S.M., Lemay, G.J.,
Edge Detection Using the Linear Model,
ASSP(34), 1986, pp. 1221-1227. BibRef 8600

Delp, E.J., Chu, C.H.,
Detecting Edge Segments,
SMC(15), 1985, pp. 144-152. BibRef 8500

Chanda, B., Chaudhuri, B.B., Dutta Majumder, D.,
A Differentiation/Enhancement Edge Detector and Its Properties,
SMC(15), 1985, pp. 162-168. BibRef 8500

Shu, J.S.P.[Joseph Shou-Pyng],
One-Pixel-Wide Edge Detection,
PR(22), No. 6, 1989, pp. 665-673.
Elsevier DOI BibRef 8900

Rangarajan, A., Chellappa, R., Zhou, Y.T.,
A Unified Approach for Filtering and Edge Detection in Noisy Images,
CirSys(37), Jan. 1990, pp. 140-144. BibRef 9001

Johnson, R.P.,
Contrast Based Edge Detection,
PR(23), No. 3-4, 1990, pp. 311-318.
Elsevier DOI BibRef 9000

Strickland, R.N.[Robin N.], Draelos, T.[Tim], Mao, Z.[Zuhua],
Edge Detection in Machine Vision Using a Simple L(1) Norm Template Matching Algorithm,
PR(23), No. 5, 1990, pp. 411-421.
Elsevier DOI BibRef 9000

Lee, D.,
Coping with Discontinuities in Computer Vision: Their Detection, Classification and Measurement,
PAMI(12), No. 4, April 1990, pp. 321-344.
IEEE DOI BibRef 9004
Earlier: ICCV88(546-557).
IEEE DOI BibRef
And:
Edge Detection, Classification, and Measurement,
CVPR89(2-10).
IEEE DOI BibRef
Earlier: Comparisons of Gaussian, Canny, etc. Edge detector based on a pair of patterns and a linear filter. BibRef

Lee, D., Wasilkowski, G.W.,
Discontinuity Detection and Thresholding: A Stocastic Approach,
CVPR91(208-214).
IEEE DOI BibRef 9100

Kittler, J.V., Eggleton, J., Illingworth, J., Paler, K.,
An Averaging Edge Detector,
PRL(6), No. 1, 1987, pp. 27-32. BibRef 8700

Kittler, J.V., Paler, K.,
An Absorption Edge Detector,
CVPR83(345-350). BibRef 8300

Owens, R., Venkatesh, S., Ross, J.,
Edge Detection is a Projection,
PRL(9), 1989, pp. 233-244. BibRef 8900

Kamata, S.[Seiichiro], Ishikawa, S.[Seiji], Kato, K.[Kiyoshi],
Reconstructing an Edge on a Polyhedron Using an Optimization Method,
CVGIP(47), No. 1, July 1989, pp. 92-104.
Elsevier DOI BibRef 8907

Saito, N., Cunningham, M.A.,
Generalized E-Filter and Its Application to Edge Detection,
PAMI(12), No. 8, August 1990, pp. 814-817.
IEEE DOI E-Filter differentiates the large and small amplitude components of the signal. BibRef 9008

Gokmen, M., Li, C.C.,
Edge Detection and Surface Reconstruction Using Refined Regularization,
PAMI(15), No. 5, May 1993, pp. 492-499.
IEEE DOI BibRef 9305
Earlier:
Multiscale edge detection using first order R-filter,
ICPR92(III:307-310).
IEEE DOI 9208
BibRef
Earlier:
Edge Detection Using Refined Regularization,
CVPR91(215-221).
IEEE DOI BibRef
Earlier:
Edge detection with iteratively refined regularization,
ICPR90(I: 690-693).
IEEE DOI 9006
Adaptive Smoothing. Regularization. BibRef

Chen, L.H.[Ling-Hwei],
A Two-Phase Area-Level Line/Edge Detector,
PR(25), No. 1, January 1992, pp. 55-63.
Elsevier DOI BibRef 9201

Wang, Z.Y.[Zheng-Yan], Jenkin, M.R.M.[Michael R.M.],
Using Complex Gabor Filters to Detect and Localize Edges and Bars,
AMV Strategies921992, pp. 151-170. Gabor Filter. BibRef 9200

Cheng, J.C.[Jin-Chang], Don, H.S.[Hon-Son],
Roof Edge Detection: A Morphological Skeleton Approach,
AMV Strategies921992, pp. 171-191. Is it roof edge or peak finding? BibRef 9200

McLean, G.F.,
Codebook Edge Detection,
GMIP(55), No. 1, January 1993, pp. 48-yy. BibRef 9301

Zhou, J., Peng, J.X., Ding, M.Y.,
Improved Codebook Edge-Detection,
GMIP(57), No. 6, November 1995, pp. 533-536. BibRef 9511

Paillou, P.,
Non-Antisymmetrical Edge Profile Detection,
PRL(15), No. 6, June 1994, pp. 595-605. BibRef 9406

Kaushal, T.P.,
Visibly Better Edge-Detection Using Observed Image Contrasts,
PRL(15), No. 7, July 1994, pp. 641-647. BibRef 9407

Chun, I.G., Cho, T.I., Park, K.H.,
Boundary Detection in a Hexagonal Grid Using Energy Minimization,
PRL(15), No. 2, February 1994, pp. 151-159. BibRef 9402

Qin, P.H., Bhandarkar, S.M.,
An Edge-Detection Technique Using Local Smoothing and Statistical Hypothesis-Testing,
PRL(17), No. 8, July 1 1996, pp. 849-872. 9608
BibRef

Higgins, W.E.[William E], Hsu, C.M.[Chao-Ming],
Edge-Detection Using 2-Dimensional Local-Structure Information,
PR(27), No. 2, February 1994, pp. 277-294.
Elsevier DOI BibRef 9402

Mehrotra, R., Namaduri, K.R., Ranganathan, N.,
Gabor Filter-Based Edge Detection,
PR(25), No. 12, December 1992, pp. 1479-1494.
Elsevier DOI BibRef 9212
Earlier: A2, A1, A3:
Edge detection models based on Gabor filters,
ICPR92(III:729-732).
IEEE DOI 9208
BibRef

Namaduri, K.R., Mehrotra, R., Ranganathan, N.,
Fast spatiotemporal filters,
ICPR90(II: 479-483).
IEEE DOI 9208
BibRef

van der Heijden, F.,
Edge and Line Feature-Extraction Based on Covariance-Models,
PAMI(17), No. 1, January 1995, pp. 16-33.
IEEE DOI Explicit modeling of multiple edges. BibRef 9501

Kayargadde, V., Martens, J.B.,
Estimation of Edge Parameters and Image Blur Using Polynomial-Transforms,
GMIP(56), No. 6, November 1994, pp. 442-461. BibRef 9411

Kayargadde, V., Martens, J.B.,
Estimation of Perceived Image Blur Using Edge Features,
IJIST(7), No. 2, Summer 1996, pp. 102-109. 9607
BibRef

Devriendt, J.,
Fast Computation of Unbiased Intensity Derivatives in Images Using Separable Filters,
IJCV(13), No. 3, December 1994, pp. 259-269.
Springer DOI Separable Filters. BibRef 9412

Wang, M.J.J., Chang, S.C., Liu, C.M., Wu, W.Y.,
A New Edge Detection Method Through Template Matching,
PRAI(8), 1994, pp. 899-917. BibRef 9400

Shen, J.[Jun], Shen, W.[Wei],
Image Smoothing and Edge-Detection by Hermite Integration,
PR(28), No. 8, August 1995, pp. 1159-1166.
Elsevier DOI BibRef 9508

Iverson, L.A., Zucker, S.W.,
Logical/Linear Operators for Image Curves,
PAMI(17), No. 10, October 1995, pp. 982-996.
IEEE DOI Code, Edge Detection. Unify aspects of Linear operator theory and boolean logic. Code is available through the paper pointer:
HTML Version. Compared in:
See also Robust Visual Method for Assessing the Relative Performance of Edge Detection Algorithms, A. BibRef 9510

Zucker, S.W., Dobbins, A., Iverson, L.A.,
On the computational neurobiology of curve detection,
BMVC90(xx-yy).
PDF File. 9009
BibRef

Vemis, M., Economou, G., Fotopoulos, S., Khodyrev, A.,
The Use of Boolean Functions and Local Operations for Edge-Detection in Images,
SP(45), No. 2, August 1995, pp. 161-172. BibRef 9508

Thune, M.[Mari], Olstad, B.[Bjørn], Thune, N.[Nils],
Edge-Detection in Noisy Data Using Finite Mixture Distribution Analysis,
PR(30), No. 5, May 1997, pp. 685-699.
Elsevier DOI 9705
BibRef
Earlier: ICIP94(I: 313-317).
IEEE DOI 9411
BibRef

Smith, S.M.[Stephen M.], Brady, J.M.,
Susan: A New Approach to Low-Level Image-Processing,
IJCV(23), No. 1, May 1997, pp. 45-78.
DOI Link 9708
BibRef
Earlier: Defence Research AgencyUK, TR95SMS1, 1995. Code, Edge Detection. Code:
HTML Version. BibRef

Smith, S.M.[Stephen M.],
Edge Thinning Used in the Susan Edge Detector,
Defence Research AgencyUK, TR95SMS5, 1995. BibRef 9500

Perez, M.M., Dennis, T.J.,
An Adaptive Implementation of the Susan Method for Image Edge and Feature Detection,
ICIP97(II: 394-397).
IEEE DOI BibRef 9700

Siuzdak, J.[Jerzy],
A single filter for edge detection,
PR(31), No. 11, November 1998, pp. 1681-1686.
Elsevier DOI BibRef 9811

Das, D.N.[Debendra Nath], Mukhopadhyay, S.[Sourangshu],
Image Edge Detection and Enhancement by an Inversion Operation,
AppOpt(37), No. 35, December 1998, pp. 8254-8257. BibRef 9812

Acton, S.T.[Scott T.], Mukherjee, D.P.[Dipti Prasad],
Area operators for edge detection,
PRL(21), No. 6-7, June 2000, pp. 771-777. 0006
BibRef

Middleton, L.[Lee], Sivaswamy, J.[Jayanthi],
Edge detection in a hexagonal-image processing framework,
IVC(19), No. 14, December 2001, pp. 1071-1081.
Elsevier DOI 0111
BibRef

Chen, T., Wu, Q.H., Rahmani-Torkaman, R., Hughes, J.,
A pseudo top-hat mathematical morphological approach to edge detection in dark regions,
PR(35), No. 1, January 2002, pp. 199-210.
Elsevier DOI 0111
BibRef

Sanz, I., Calvo, M.L., Chevalier, M., Lakshminarayanan, V.,
Perception of High-Contrast Blurred Edges,
JVCIR(12), No. 3, September 2001, pp. 240-254.
DOI Link 0201
BibRef

Hou, Z.J., Wei, G.W.,
A new approach to edge detection,
PR(35), No. 7, July 2002, pp. 1559-1570.
Elsevier DOI 0204
discrete singular convolution (DSC) algorithm for edge detection. BibRef

Kundu, A.[Amlan],
Robust edge detection,
PR(23), No. 5, 1990, pp. 423-440.
Elsevier DOI 0307
Analysis of noise. BibRef

Luo, L.M.[Li-Min], Xie, X.H.[Xiao-Hua], Bao, X.D.[Xu-Dong],
A modified moment-based edge operator for rectangular pixel image,
CirSysVideo(4), No. 6, December 1994, pp. 552-554.
IEEE Top Reference. 0206
BibRef

Wongthanavasu, S., Sadananda, R.,
A CA-based edge operator and its performance evaluation,
JVCIR(14), No. 2, June 2003, pp. 83-96.
Elsevier DOI 0306
cellular automaton BibRef

Wongthanavasu, S., Lursinsap, C.,
A 3-D CA-based edge operator for 3-D images,
ICIP04(I: 235-238).
IEEE DOI 0505
cellular automaton BibRef

Kim, D.S.[Dong-Su], Lee, W.H.[Wang-Heon], Kweon, I.S.[In-So],
Automatic edge detection using 3X3 ideal binary pixel patterns and fuzzy-based edge thresholding,
PRL(25), No. 1, January 2004, pp. 101-106.
Elsevier DOI 0311
Use look-up table for computation. BibRef

Rakesh, R.R., Chaudhuri, P., Murthy, C.A.,
Thresholding in Edge Detection: A Statistical Approach,
IP(13), No. 7, July 2004, pp. 927-936.
IEEE DOI 0406
BibRef

Pellegrino, F.A.[Felice Andrea], Vanzella, W.[Walter], Torre, V.[Vincent],
Edge Detection Revisited,
SMC-B(34), No. 3, June 2004, pp. 1500-1518.
IEEE Abstract. 0407
BibRef
Earlier:
How the Spatial Filters of Area V1 Can Be Used for a Nearly Ideal Edge Detection,
BMCV02(38 ff.).
Springer DOI 0303
BibRef

Zheng, S.[Sheng], Liu, J.[Jian], Tian, J.W.[Jin Wen],
A New Efficient SVM-Based Edge Detection Method,
PRL(25), No. 10, 16 July 2004, pp. 1143-1154.
Elsevier DOI 0407

See also New Efficient SVM-based Image Registration Method, A. BibRef

Yahia, Y.A.A.[Yacine Ait Ali], Guessoum, A.[Abderazek],
Parametric Filtering Algorithms for Edge Detection,
GVIP(05), No. V6, 2005, pp. 47-53
HTML Version. BibRef 0500

Popovici, I.[Irina], Withers, W.D.[William Douglas],
Custom-Built Moments for Edge Location,
PAMI(28), No. 4, April 2006, pp. 637-642.
IEEE DOI 0604
BibRef
And:
Locating Thin Lines and Roof Edges by Custom-Built Moments,
ICIP06(753-756). 0610

IEEE DOI General functions whose moments define edges. Not limited to circular regions. BibRef

Popovici, I.[Irina], Withers, W.D.[William Douglas],
Curve Parametrization by Moments,
PAMI(31), No. 1, January 2009, pp. 15-26.
IEEE DOI 0812
Apply to conic sections. Unlike hough, no large accumulator array. Generalize to other curves and surfaces. BibRef

Moreno, F., Romero, S., Cortés, E.,
Generalization of Frei and Chen's approach to extract the lines and edges of a digital image,
IJDAR(8), No. 2-3, June 2006, pp. 214-221.
Springer DOI 0606

See also Fast Boundary Detection: A Generalization and a New Algorithm. Applied to table extraction from documents. BibRef

Galati, D.G.[David G.], Simaan, M.A.[Marwan A.],
Automatic decomposition of time series into step, ramp, and impulse primitives,
PR(39), No. 11, November 2006, pp. 2166-2174.
Elsevier DOI 0608
Step, ramp and impulse primitives BibRef

Yu, Y.H.[Yuan-Hui], Chang, C.C.[Chin-Chen],
A new edge detection approach based on image context analysis,
IVC(24), No. 10, 1 October 2006, pp. 1090-1102.
Elsevier DOI 0609
Edge detection; Predictive error value; GAP; Image context analysis BibRef

Diao, L.[Luhong], Yu, B.[Bin], Li, H.[Hua],
A new edge detector based on Fresnel diffraction,
PRL(28), No. 7, May 2007, pp. 859-864.
Elsevier DOI 0703
Edge detection; Fresnel diffraction; Complex functions; ROC curve BibRef

Wyatt, P.[Paul], Nakai, H.[Hiroaki],
Developing Nonstationary Noise Estimation for Application in Edge and Corner Detection,
IP(16), No. 7, July 2007, pp. 1840-1853.
IEEE DOI 0707
BibRef
Earlier:
Applying Non-stationary Noise Estimation to Achieve Contrast Invariant Edge Detection,
ACCV06(II:742-751).
Springer DOI 0601
BibRef

Zhu, Z.F.[Zhen-Feng], Lu, H.Q.[Han-Qing], Zhao, Y.[Yao],
Scale multiplication in odd Gabor transform domain for edge detection,
JVCIR(18), No. 1, February 2007, pp. 68-80.
Elsevier DOI 0711
Edge detection; Gabor transform; Adaptive threshold; Scale multiplication BibRef

Batard, T.[Thomas], Saint-Jean, C.[Christophe], Berthier, M.[Michel],
A Metric Approach to nD Images Edge Detection with Clifford Algebras,
JMIV(33), No. 3, March 2009, pp. xx-yy.
Springer DOI 0903
BibRef

Jiang, W., Lam, K.M., Shen, T.Z.,
Efficient Edge Detection Using Simplified Gabor Wavelets,
SMC-B(39), No. 4, August 2009, pp. 1036-1047.
IEEE DOI 0906
BibRef

Matsumoto, M.[Mitsuharu],
Band-Pass epislon-Filter for Edge Enhancement and Noise Removal,
IEICE(E93-D), No. 2, February 2010, pp. 367-375 PAPER-Image Processing and Video Processing.
WWW Link. 1002
BibRef

Kaur, A.[Amandeep], Singh, C.[Chandan],
A Hybrid Edge Detector Using Fuzzy Logic And Mathematical Morphology,
IJIG(10), No. 2, April 2010, pp. 251-272.
DOI Link 1003
BibRef

Tello Alonso, M., Lopez-Martinez, C., Mallorqui, J.J., Salembier, P.[Philippe],
Edge Enhancement Algorithm Based on the Wavelet Transform for Automatic Edge Detection in SAR Images,
GeoRS(49), No. 1, January 2011, pp. 222-235.
IEEE DOI 1101
BibRef

Lin, Z.C.[Zheng-Chun], Jiang, J.S.[Jin-Shan], Wang, Z.Y.[Zhi-Yan],
Edge detection in the feature space,
IVC(29), No. 2-3, February 2011, pp. 142-154.
Elsevier DOI 1101
Edge detection; Image processing; Image feature representation; Kernel principal component analysis; Subspace classification; Feature space BibRef

Han, X.H.[Xian-Hua], Chen, Y.W.[Yen-Wei],
A robust method based on ICA and mixture sparsity for edge detection in medical images,
SIViP(5), No. 1, March 2011, pp. 39-47.
WWW Link. 1103
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Jing, Y.[Yu], An, J., Liu, Z.,
A Novel Edge Detection Algorithm Based on Global Minimization Active Contour Model for Oil Slick Infrared Aerial Image,
GeoRS(49), No. 6, June 2011, pp. 2005-2013.
IEEE DOI 1106
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Liu, Z., An, J., Jing, Y.,
A Simple and Robust Feature Point Matching Algorithm Based on Restricted Spatial Order Constraints for Aerial Image Registration,
GeoRS(50), No. 2, February 2012, pp. 514-527.
IEEE DOI 1201
BibRef

Jing, Y.[Yu], An, J., Li, L.[Li],
The Edge Detection of Oil Spills Image Using Self-Adaptive Dynamic Block Threshold Algorithm Based on Non-Maximal Suppression,
CISP09(1-5).
IEEE DOI 0910
BibRef

Mahmoodi, S.[Sasan],
Edge Detection Filter based on Mumford-Shah Green Function,
SIIMS(5), No. 1 2012, pp. 343.
DOI Link 1203

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

Sao, A.K.[Anil Kumar], Yegnanarayana, B.,
Edge extraction using zero-frequency resonator,
SIViP(6), No. 2, June 2012, pp. 287-300.
WWW Link. 1205
BibRef

Ray, K.[Kunal],
Unsupervised edge detection and noise detection from a single image,
PR(46), No. 8, August 2013, pp. 2067-2077.
Elsevier DOI 1304
ADM edge detector; Non-maximal suppression; Ground Truth (GT); Noise BibRef

Guo, W., Lai, M.,
Box Spline Wavelet Frames for Image Edge Analysis,
SIIMS(6), No. 3, 2013, pp. 1553-1578.
DOI Link 1310
BibRef

Ren, F.[Fuji], Li, B.[Bo], Chen, Q.M.[Qi-Mei],
Single Parameter Logarithmic Image Processing for Edge Detection,
IEICE(E96-D), No. 11, November 2013, pp. 2437-2449.
WWW Link. 1311
BibRef

Maji, S.K.[Suman Kumar], Yahia, H.M.[Hussein M.],
Edges, transitions and criticality,
PR(47), No. 6, 2014, pp. 2104-2115.
Elsevier DOI 1403
Edge detection BibRef

Ari, S.[Samit], Ghosh, D.K.[Dipak Kumar], Mohanty, P.K.[Prashant Kumar],
Edge detection using ACO and F ratio,
SIViP(8), No. 4, May 2014, pp. 625-634.
WWW Link. 1404
BibRef

Paskaleva, B.S., Godoy, S.E., Jang, W., Bender, S.C., Krishna, S., Hayat, M.M.,
Model-Based Edge Detector for Spectral Imagery Using Sparse Spatiospectral Masks,
IP(23), No. 5, May 2014, pp. 2315-2327.
IEEE DOI 1405
Detectors BibRef

Merrikh-Bayat, F.[Farnood], Shouraki, S.B.[Saeed Bagheri], Merrikh-Bayat, F.[Farshad],
Memristive fuzzy edge detector,
RealTimeIP(9), No. 3, September 2014, pp. 479-489.
Springer DOI 1408
BibRef

Pan, X., Ye, Y., Wang, J., Gao, X., He, C., Wang, D., Jiang, B., Li, L.,
Complex Composite Derivative and Its Application to Edge Detection,
SIIMS(7), No. 4, 2014, pp. 2807-2832.
DOI Link 1412
BibRef

Spontón, H.[Haldo], Cardelino, J.[Juan],
A Review of Classic Edge Detectors,
Image Processing On Line(5), 2015, pp. 90-123.
DOI Link 1506
Survey, Edge Detectors. A discussion of classic edge detectors, how they are similar, what the generate, etc. BibRef

Kiani, A., Sahebi, M.R.,
Edge detection based on the Shannon Entropy by piecewise thresholding on remote sensing images,
IET-CV(9), No. 5, 2015, pp. 758-768.
DOI Link 1511
edge detection BibRef

Li, S.B.[Shao-Bai], Dasmahapatra, S., Maharatna, K.,
Dynamical System Approach for Edge Detection Using Coupled FitzHugh-Nagumo Neurons,
IP(24), No. 12, December 2015, pp. 5206-5219.
IEEE DOI 1512
edge detection BibRef

von Gioi, R.G.[Rafael Grompone], Randall, G.[Gregory],
Unsupervised Smooth Contour Detection,
IPOL(6), 2016, pp. 233-267.
DOI Link 1612
Code, Edge Detection. similar to Marr-Hildreth (
See also Theory of Edge Detection. ), heuristics from Canny (
See also Computational Approach to Edge Detection, A. ) and Devernay (
See also Non-Maximal Suppression Method for Edge Detection with Sub-Pixel Accuracy, A. ) BibRef

Grompone von Gioi, R.[Rafael], Randall, G.[Gregory],
A Sub-Pixel Edge Detector: an Implementation of the Canny/Devernay Algorithm,
IPOL(7), 2017, pp. 347-372.
DOI Link 1712
heuristics from Canny (
See also Computational Approach to Edge Detection, A. ) and Devernay (
See also Non-Maximal Suppression Method for Edge Detection with Sub-Pixel Accuracy, A. ) BibRef

Rajathilagam, B., Rangarajan, M.[Murali],
Edge detection using G-lets based on matrix factorization by group representations,
PR(67), No. 1, 2017, pp. 1-15.
Elsevier DOI 1704
Irreducible representations BibRef

Furnari, A.[Antonino], Farinella, G.M.[Giovanni Maria], Bruna, A.R.[Arcangelo Ranieri], Battiato, S.[Sebastiano],
Distortion adaptive Sobel filters for the gradient estimation of wide angle images,
JVCIR(46), No. 1, 2017, pp. 165-175.
Elsevier DOI 1706
BibRef
Earlier:
Generalized Sobel Filters for gradient estimation of distorted images,
ICIP15(3250-3254)
IEEE DOI 1512
Generalized Sobel Filters (GSF). Gradient, estimation. BibRef

Seo, S.,
Edge Modeling by Two Blur Parameters in Varying Contrasts,
IP(27), No. 6, June 2018, pp. 2701-2714.
IEEE DOI 1804
brightness, cameras, edge detection, image capture, image restoration, interpolation, iterative methods, kriging BibRef

Avots, E.[Egils], Arslan, H.S.[Hasan Said], Valgma, L.[Lembit], Gorbova, J.[Jelena], Anbarjafari, G.[Gholamreza],
A new kernel development algorithm for edge detection using singular value ratios,
SIViP(12), No. 7, October 2018, pp. 1301-1309.
Springer DOI 1809
BibRef

Akbarinia, A.[Arash], Parraga, A.[Alejandro],
Feedback and Surround Modulated Boundary Detection,
IJCV(126), No. 12, December 2018, pp. 1367-1380.
Springer DOI 1811
BibRef
Earlier:
Biologically plausible boundary detection,
BMVC16(xx-yy).
HTML Version. 1805
HVS like processing BibRef

Guha, I.[Indranil], Saha, P.K.[Punam K.],
A New Algorithm for Local Blur-Scale Computation and Edge Detection,
ISVC18(598-606).
Springer DOI 1811
BibRef

Foare, M., Pustelnik, N., Condat, L.,
Semi-Linearized Proximal Alternating Minimization for a Discrete Mumford-Shah Model,
IP(29), 2020, pp. 2176-2189.
IEEE DOI 2001
Convergence, Image restoration, Image edge detection, Minimization, Noise reduction, Degradation, Couplings, Segmentation, restoration, Mumford-Shah
See also Optimal Approximations by Piecewise Smooth Functions and Variational Problems. BibRef

Xiang, S., Tang, B.,
Kernel-Based Edge-Preserving Methods for Abrupt Change Detection,
SPLetters(27), 2020, pp. 86-90.
IEEE DOI 2001
Kernel, Image edge detection, Euclidean distance, Signal processing algorithms, event detection BibRef

Peng, C.M.[Chang-Meng], Xia, M.H.[Mao-Han], Fu, Z.Z.[Zhi-Zhong], Xu, J.[Jin], Li, X.F.[Xiao-Feng],
Bilateral False Contour Elimination Filter-Based Image Bit-Depth Enhancement,
SPLetters(28), 2021, pp. 1585-1589.
IEEE DOI 2108
Signal processing algorithms, Image edge detection, Tablet computers, Measurement, Filtering algorithms, Training, image processing BibRef

Burke, J.[Jamie], King, S.[Stuart],
Edge Tracing Using Gaussian Process Regression,
IP(31), 2022, pp. 138-148.
IEEE DOI 2112
Image edge detection, Kernel, Image segmentation, Gaussian processes, Uncertainty, Mathematical models, Fitting, Gaussian processes BibRef

He, J.Z.[Jian-Zhong], Zhang, S.L.[Shi-Liang], Yang, M.[Ming], Shan, Y.[Yanhu], Huang, T.J.[Tie-Jun],
BDCN: Bi-Directional Cascade Network for Perceptual Edge Detection,
PAMI(44), No. 1, January 2022, pp. 100-113.
IEEE DOI 2112
BibRef
Earlier:
Bi-Directional Cascade Network for Perceptual Edge Detection,
CVPR19(3823-3832).
IEEE DOI 2002
Image edge detection, Task analysis, Bidirectional control, Fuses, Image segmentation, Feature extraction, Convolution, convolutional neural network BibRef

Liu, Y.[Yun], Cheng, M.M.[Ming-Ming], Fan, D.P.[Deng-Ping], Zhang, L.[Le], Bian, J.W.[Jia-Wang], Tao, D.C.[Da-Cheng],
Semantic Edge Detection with Diverse Deep Supervision,
IJCV(130), No. 1, January 2022, pp. 179-198.
Springer DOI 2201
BibRef

Wang, C.H.[Chao-Hui], Fu, H.[Huan], Tao, D.C.[Da-Cheng], Black, M.J.[Michael J.],
Occlusion Boundary: A Formal Definition & Its Detection via Deep Exploration of Context,
PAMI(44), No. 5, May 2022, pp. 2641-2656.
IEEE DOI 2204
BibRef
Earlier: A2, A1, A3, A4:
Occlusion Boundary Detection via Deep Exploration of Context,
CVPR16(241-250)
IEEE DOI 1612
Image edge detection, Detectors, Computational modeling, Spatiotemporal phenomena, Occlusion boundaries, conditional random fields BibRef

Li, B.[Bo], Xie, W.[Wei], Zhang, L.W.[Lang-Wen], Yu, X.Y.[Xiao-Yuan],
Adaptive fractional differential algorithm for image edge enhancement and texture preserve using fuzzy sets,
IET-IPR(17), No. 7, 2023, pp. 2204-2213.
DOI Link 2305
image enhancement, image texture BibRef

Chen, H.[Hao], Dong, Y.H.[Yong-Han], Lu, Z.M.[Zhe-Ming], Yu, Y.L.[Yun-Long], Han, J.G.[Jun-Gong],
Self-Prompting Perceptual Edge Learning for Dense Prediction,
CirSysVideo(34), No. 6, June 2024, pp. 4528-4541.
IEEE DOI Code:
WWW Link. 2406
Task analysis, Image edge detection, Feature extraction, Semantics, Visualization, Object detection, Transformers, Prompt learning, edge-embedded semantic prompt BibRef

Pan, Z.[Zhiyi], Jiang, P.[Peng], Zeng, Q.[Qiong], Li, G.[Ge], Tu, C.H.[Chang-He],
Category-agnostic semantic edge detection by measuring neural representation randomness,
PR(156), 2024, pp. 110820.
Elsevier DOI 2408
Edge detection, Category-agnostic edge, Randomness metric BibRef

Hao, H.X.[Hong-Xing], Yu, R.H.[Rong-Huan], Hu, H.Q.[Hua-Quan], Guo, J.[Jing],
An Algorithm for Detecting the Discontinuous Areas in Interferometric Phase Images,
ICIVC22(767-771)
IEEE DOI 2301
Laplace equations, Image edge detection, Noise reduction, Interference, Image restoration, Kernel, Detection algorithms, phase processing BibRef

Zheng, E.[Enzhuang], Zhong, B.J.[Bao-Jiang], Ma, K.K.[Kai-Kuang],
Anisotropic Edge Detection in Catadioptric Images,
ICIP22(1686-1690)
IEEE DOI 2211
Manifolds, Measurement, Heating systems, Filtering, Image edge detection, Machine vision, Detectors, edge detection, anisotropic image filtering BibRef

Hu, G.[Gang], Saeli, C.[Conner],
Scale-Invariant Salient Edge Detection,
ICIP21(564-568)
IEEE DOI 2201
Fuses, Image edge detection, Semantics, Feature extraction, Noise measurement, Scale-invariant, Edge detection, Deep network BibRef

Wang, H.[Hao], Mohamed, H.[Hasan], Wang, Z.[Zuowen], Rueckauer, B.[Bodo], Liu, S.C.[Shih-Chii],
LiteEdge: Lightweight Semantic Edge Detection Network,
VSPW21(2657-2666)
IEEE DOI 2112
Training, Quantization (signal), Image edge detection, Computational modeling, Semantics BibRef

Acuna, D.[David], Kar, A.[Amlan], Fidler, S.[Sanja],
Devil Is in the Edges: Learning Semantic Boundaries From Noisy Annotations,
CVPR19(11067-11075).
IEEE DOI 2002
BibRef

Yang, Z., Wang, P., Wang, Y., Xu, W., Nevatia, R.,
LEGO: Learning Edge with Geometry all at Once by Watching Videos,
CVPR18(225-234)
IEEE DOI 1812
Image edge detection, Geometry, Estimation, Pipelines, Videos, Training BibRef

Ren, Z., Lee, Y.J.,
Cross-Domain Self-Supervised Multi-task Feature Learning Using Synthetic Imagery,
CVPR18(762-771)
IEEE DOI 1812
Task analysis, Visualization, Semantics, Image edge detection, Image segmentation, Adaptation models, Feature extraction BibRef

Wang, Y., Zhao, X., Huang, K.,
Iterative Residual Network for Structured Edge Detection,
ICIP18(4183-4187)
IEEE DOI 1809
Iterative residual, structured edge detection BibRef

Georgescu, C.[Carmina],
Improved Edge Detection Algorithms Based on a Riesz Fractional Derivative,
ICIAR18(201-209).
Springer DOI 1807
BibRef

Wang, Y.P.[Yu-Pei], Zhao, X.[Xin], Li, Y., Huang, K.Q.[Kai-Qi],
Deep Crisp Boundaries: From Boundaries to Higher-Level Tasks,
IP(28), No. 3, March 2019, pp. 1285-1298.
IEEE DOI 1812
BibRef
Earlier: A1, A2, A4, Only:
Deep Crisp Boundaries,
CVPR17(1724-1732)
IEEE DOI 1711
Analysis of new edge detectors using ConvNet. convolution, edge detection, feature extraction, image representation, image segmentation, image sequences, deep learning. Detectors, Image edge detection, Image resolution, Optical imaging, Standards. BibRef

Yu, Z., Feng, C., Liu, M.Y., Ramalingam, S.,
CASENet: Deep Category-Aware Semantic Edge Detection,
CVPR17(1761-1770)
IEEE DOI 1711
Computer architecture, Convolution, Feature extraction, Image color analysis, Image edge detection, Semantics BibRef

Gunen, M.A., Civicioglu, P., Besdok, E.,
Differential Search Algorithm Based Edge Detection,
ISPRS16(B7: 667-670).
DOI Link 1610
BibRef

Belaid, A.[Ahror],
Feature Asymmetry of the Conformal Monogenic Signal,
ICISP16(12-20).
WWW Link. 1606
For more than simple edges, e.g. corners. BibRef

Belaid, A.[Ahror], Aloui, S.[Soraya], Boukerroui, D.[Djamal],
Edge Detection Based on Riesz Transform,
ICISP16(21-29).
WWW Link. 1606
BibRef

Chessa, M.[Manuela], Solari, F.[Fabio],
Local Feature Extraction in Log-Polar Images,
CIAP15(I:410-420).
Springer DOI 1511
BibRef

de Marsico, M.[Maria], Nappi, M.[Michele], Riccio, D.[Daniel],
ALOE: Augmented Local Operator for Edge Detection,
ICIAR14(I: 215-223).
Springer DOI 1410
BibRef

Kubota, T.,
Edge grouping around a fixation point,
AIPR13(1-14)
IEEE DOI 1408
edge detection BibRef

Marchant, R.[Ross], Jackway, P.T.[Paul T.],
Using Super-Resolution Methods to Solve a Novel Multi-Sinusoidal Signal Model,
DICTA13(1-8)
IEEE DOI 1402
BibRef
Earlier:
Local feature analysis using a sinusoidal signal model derived from higher-order Riesz transforms,
ICIP13(3489-3493)
IEEE DOI 1402
BibRef
Earlier:
Modelling Line and Edge Features Using Higher-Order Riesz Transforms,
ACIVS13(438-449).
Springer DOI 1311
Riesz transform; detection; local features; monogenic signal BibRef

Gonfaus, J.M.[Josep M.], Gevers, T.[Theo], Gijsenij, A.[Arjan], Roca, F.X.[F. Xavier], Gonzalez, J.[Jordi],
Edge classification using photo-geometric features,
ICPR12(1497-1500).
WWW Link. 1302
BibRef

Liu, Q.[Qing], Lai, C.Y.[Cheng-Yu],
Edge detection based on mathematical morphology theory,
IASP11(151-154).
IEEE DOI 1112
BibRef

Yang, H.B.[Hai-Bo], Ye, Y.Q.[Yong-Qiang], Wang, D.[Danwei], Jiang, B.[Bin],
A novel fractional-order signal processing based edge detection method,
ICARCV10(1122-1127).
IEEE DOI 1109
BibRef

Wu, Y.[Yuan], Wu, W.F.[Wei-Feng], Huang, Q.[Qian], Dong, X.[Xiao],
Fast Local Scale Control Based Blur Edge Detection,
ICIG11(488-493).
IEEE DOI 1109
BibRef

Wen, C.[Cheng], Huang, C.H.[Chih-Hung], Chang, K.C.[Kuang-Chiung],
Modeling and Detection of Blurred Illumination Edges,
PSIVT10(276-281).
IEEE DOI 1011
BibRef

Lee, W.Y.[Won Yeol], Kim, S.Y.[Se Yun], Kim, Y.W.[Young Woo], Lim, J.Y.[Jae Young], Lim, D.H.[Dong Hoon],
Edge detection using morphological amoebas in noisy images,
ICIP09(2169-2172).
IEEE DOI 0911
BibRef

Walter, N.[Nicolas], Aubreton, O.[Olivier], Fougerolle, Y.D.[Yohan D.], Laligant, O.[Olivier],
SUSAN 3D operator, principal saliency degrees and directions extraction and a brief study on the robustness to noise,
ICIP09(3529-3532).
IEEE DOI 0911
BibRef

Zhao, J.[Jian], Yu, M.[Ming], Wang, T.Y.[Tai-Yong],
A Multi-Ridge Recognition Method Using Modified MOPSO Algorithm and its Application on Modal Parameter Identification,
CISP09(1-5).
IEEE DOI 0910
modified multi-objective particle swarm optimization Find ridges in the space. BibRef

Ma, L.[Li], Wang, Z.Y.[Ze-Yong], Gao, X.R.[Xiao-Rong], Wang, L.[Li], Yang, K.[Kai],
Edge Detection on Pantograph Slide Image,
CISP09(1-3).
IEEE DOI 0910
BibRef

Yan, Y.[Yang], Gewen, K.[Kang], Hong, L.[Li],
Edge Detection Using Sparse Coding Method,
CISP09(1-4).
IEEE DOI 0910
BibRef

Zhao, C.J.[Chun-Jiang], Deng, Y.[Yong],
A Modified Sobel Edge Detection Using Dempster-Shafer Theory,
CISP09(1-4).
IEEE DOI 0910
BibRef

Awad, A.S., Man, H.,
An edge detection technique in images,
AIPR08(1-5).
IEEE DOI 0810
BibRef

Madasu, V.K.[Vamsi Krishna], Vasikarla, S.,
Fuzzy Edge Detection in Biometric Systems,
AIPR07(139-144).
IEEE DOI 0710
BibRef

Zhang, J.Y.[Jin-Yu], Chen, Y.[Yan], Huang, X.X.[Xian-Xiang],
Edge detection of images based on improved Sobel operator and genetic algorithms,
IASP09(31-35).
IEEE DOI 0904
BibRef

Mairal, J.[Julien], Leordeanu, M.[Marius], Bach, F.[Francis], Hebert, M.[Martial], Ponce, J.[Jean],
Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation,
ECCV08(III: 43-56).
Springer DOI 0810
BibRef

Bigot, S.[Stéphanie], Kachi, D.[Djemaa], Durand, S.[Sylvain],
Spherical Edge Detector: Application to Omnidirectional Imaging,
ACIVS08(xx-yy).
Springer DOI 0810
BibRef

Vertan, C.[Constantin], Oprea, A.[Alina], Florea, C.[Corneliu], Florea, L.[Laura],
A Pseudo-logarithmic Image Processing Framework for Edge Detection,
ACIVS08(xx-yy).
Springer DOI 0810
BibRef

Zhang, F.[Fan], Huang, X.F.[Xian-Feng], Cheng, X.G.[Xiao-Guang], Li, D.R.[De-Ren],
Edge Extraction Algorithm Based on Linear Perception Emhancement,
ISPRS08(B3b: 497 ff).
PDF File. 0807
BibRef

Xue, L.X.[Li-Xia], Wang, Z.C.[Zuo-Cheng],
An Edge Detection Algorithm for Remote Sensing Image,
ISPRS08(B3b: 423 ff).
PDF File. 0807
BibRef

He, X.J.[Xiang-Jian], Wei, D.M.[Da-Ming], Lam, K.M.[Kin-Man], Li, J.M.[Jian-Min], Wang, L.[Lin], Jia, W.J.[Wen-Jing], Wu, Q.A.[Qi-Ang],
Canny Edge Detection Using Bilateral Filter on Real Hexagonal Structure,
ACIVS10(I: 233-244).
Springer DOI 1012
BibRef

He, X.J.[Xiang-Jian], Jia, W.J.[Wen-Jing], Wu, Q.A.[Qi-Ang],
An approach of Canny edge detection with virtual hexagonal image structure,
ICARCV08(879-882).
IEEE DOI 1109
BibRef

He, X.J.[Xiang-Jian], Jia, W.J.[Wen-Jing], Hur, N.H.[Nam-Ho], Wu, Q.A.[Qi-Ang], Kim, J.W.[Jin-Woong], Hintz, T.[Tom],
Bilateral Edge Detection on a Virtual Hexagonal Structure,
ISVC06(II: 176-185).
Springer DOI 0611
BibRef

Larabi, M.C., Brodbeck, V., Fernandez, C.,
A Novel Approach for Constructing an Achromatic Contrast Sensitivity Function by Matching,
ICIP06(441-444). 0610

IEEE DOI BibRef

Zhang, Q.H.[Qing H.], Gao, S.[Song], Bui, T.D.[Tien D.],
Edge Detection Models,
ICIAR05(133-140).
Springer DOI 0509
BibRef
And:
A Roof Edge Detection Model,
IbPRIA05(II:319).
Springer DOI 0509
BibRef

Bui, T.D., Gao, S., Zhang, Q.H.,
A Generalized Mumford-Shah Model for Roof-Edge Detection,
ICIP05(II: 1214-1217).
IEEE DOI 0512
BibRef

Gasparini, F., Corchs, S., Schettini, R.,
Adaptive Edge Enhancement Using a Neurodynamical Model of Visual Attention,
ICIP05(III: 972-975).
IEEE DOI 0512
BibRef

Han, T.X., Kay, S., Huang, T.S.,
Optimal segmentation of signals and its application to image denoising and boundary feature extraction,
ICIP04(IV: 2693-2696).
IEEE DOI 0505
BibRef

Lillholm, M., Pedersen, K.S.,
Jet based feature classification,
ICPR04(II: 787-790).
IEEE DOI 0409
Image model to extract structures. For jet structure:
See also Image Structure. BibRef

Caeiro, J.J., Piedade, M.,
Mixed Exponentials Filter for Edge Detection and the Fredholm Integral Equation of the First Kind,
ICIP03(III: 441-444).
IEEE DOI 0312
BibRef

Caeiro, J.J., Piedade, M.,
Errors in the estimation of gradient direction using IIR and FIR implementations,
ICIP95(II: 137-140).
IEEE DOI 9510
BibRef

Ludtke, N., Luo, B.[Bin], Hancock, E.R., Wilson, R.C.,
Corner detection using a mixture model of edge orientation,
ICPR02(II: 574-577).
IEEE DOI 0211
BibRef

Ludtke, N., Wilson, R.C., Hancock, E.R.,
Probabilistic population coding of multiple edge orientation,
ICIP02(II: 865-868).
IEEE DOI 0210
BibRef

Lüdtke, N.[Niklas], Wilson, R.C.[Richard C.], Hancock, E.R.,
Population Codes for Orientation Estimation,
ICPR00(Vol I: 238-241).
IEEE DOI 0009
Use of population vector decoding for local edge orientation estimation from a discrete set of Gabor filters. BibRef

Wilson, R.C., Lüdtke, N.,
Decoding Population Codes,
ICPR00(Vol II: 137-140).
IEEE DOI 0009
BibRef

Li, H.L.[Hong-Liang], Liu, G.Z.[Gui-Zhong], Li, Y.L.[Yong-Li],
An effective approach to edge classification from DCT domain,
ICIP02(I: 940-943).
IEEE DOI 0210
BibRef

Huggins, P.S.[Patrick S.], Zucker, S.W.[Steven W.],
Folds and Cuts: How Shading Flows Into Edges,
ICCV01(II: 153-158).
IEEE DOI 0106
BibRef

Huggins, P.S.[Patrick S.], Zucker, S.W.[Steven W.],
How Folds Cut a Scene,
VF01(323 ff.).
Springer DOI 0209
BibRef

Huggins, P.S.[Patrick S.], Chen, H.F.[Hansen F.], Belhumeur, P.N.[Peter N.], Zucker, S.W.[Steven W.],
Finding Folds: On the Appearance and Identification of Occlusion,
CVPR01(II:718-725).
IEEE DOI 0110
Interpret the edge now that you have found it. BibRef

Borga, M.[Magnus], Malmgren, H.[Helge], Knutsson, H.[Hans],
FSED: Feature Selective Edge Detection,
ICPR00(Vol I: 229-232).
IEEE DOI 0009
BibRef

Wilson, R.C., Cross, A.D.J., Hancock, E.R.,
Edge location with electrostatic region attractors,
ICIP98(II: 535-539).
IEEE DOI 9810
BibRef

Ting, H.C.[Hou-Chun], Hang, H.M.[Hsueh-Ming],
A novel approach for edge orientation determination based on pixel pair matching,
ICIP98(II: 545-549).
IEEE DOI 9810
BibRef

Cafforio, C., di Sciascio, E., Guaragnella, C., Piscitelli, G.,
A simple and effective edge detector,
CIAP97(I: 134-141).
Springer DOI 9709
BibRef

Vitulano, S., di Ruberto, C., Nappi, M.,
Edge Detection Using a New Definition of Entropy,
ICPR96(II: 141-145).
IEEE DOI 9608
(Univ. di Cagliari, I) BibRef

Strohmer, T., Binder, T., Sussner, M.,
How to recover smooth object boundaries in noisy medical images,
ICIP96(I: 331-334).
IEEE DOI 9610
BibRef

Belkacem-Boussaid, K., Beghdadi, A., Depoisot, H.,
Edge detection using Holladay's principle,
ICIP96(I: 833-836).
IEEE DOI 9610
BibRef

Das, M., Anand, J.,
Robust edge detection in noisy images using an adaptive stochastic gradient technique,
ICIP95(II: 149-152).
IEEE DOI 9510
BibRef

Rothwell, C.A., Mundy, J.L., Hoffman, W., Nguyen, V.D.,
Driving Vision by Topology,
SCV95(395-400)
IEEE DOI INRIA. GE CRD. Edge detection driven by topology (i.e. how surfaces meet at corners). Compared in:
See also Robust Visual Method for Assessing the Relative Performance of Edge Detection Algorithms, A. BibRef 9500

Nikolaidis, N., Pitas, I.,
Edge detection operators for angular data,
ICIP95(II: 157-160).
IEEE DOI 9510
BibRef

Restrepo, A., Naranjo, A., Valderrama, M., Daniels, M., de la Vega, R.,
Designing OSED's (order statistic edge detectors),
ICIP95(II: 173-176).
IEEE DOI 9510
BibRef

Sun, M., Sclabassi, R.J.,
Symmetric wavelet edge detector of the minimum length,
ICIP95(II: 177-180).
IEEE DOI 9510
BibRef

Devernay, F.,
A Non-Maximal Suppression Method for Edge Detection with Sub-Pixel Accuracy,
INRIARR-2724, 1995. BibRef 9500

Restrepo, A., Hincapie, G., Parra, A.,
On the detection of edges using order statistic filters,
ICIP94(I: 308-312).
IEEE DOI 9411
BibRef

Wojcik, Z.M.,
Application of rough sets for edge enhancing image filters,
ICIP94(II: 525-529).
IEEE DOI 9411
BibRef

Provan, G.M., Farid, H., Simoncelli, E.P.,
A Novel Radial Intensity Based Edge Operator,
UPennMS-CIS-94-07, January 1994. BibRef 9401

Cox, I.J., Boie, R.A., Wallach, D.A.,
Line Recognition,
ICPR90(I: 639-645).
IEEE DOI Find lines as opposed to edges (or pairs of edges) in the image. BibRef 9000

Giraudon, G.,
Edge Detection from Local Negative Maximum of Second Derivative,
CVPR85(643-645). INRIA Use negative maximum rather than zero crossings. BibRef 8500

Salahi, A., Fu, K.S.,
A Decision-Theoretic Approach to Edge Detection,
Some early Purduereport, Probably 1977. Improved technique for edge detection. With some optimality criteria likely ratio; test of edge hypothesis. BibRef 7700

Salahi, A., Huang, T.S.,
Edge Smoothing,
PRIP79(154-161). BibRef 7900

Nowak, A., Florek, A., Piascik, T.,
Edge Tracing in a Priori Known Direction,
ECCV92(38-42).
Springer DOI BibRef 9200

Hedengren, K.H.,
Edge enhancement with image algebra,
ICPR92(III:390-393).
IEEE DOI 9208
BibRef

Hedengren, K.H.,
Decomposition of Edge Operators,
ICPR88(II: 963-965).
IEEE DOI BibRef 8800

Neuvo, Y., Heinonen, P., Defee, I.,
New Types of Edge Detectors Based on Linear and Median Operators,
ICPR86(702-704). BibRef 8600

Zhu, Y., Li, C.C.,
Quadratic Surface Fitting Laplacian Operators,
ICPR86(846-848). BibRef 8600

Hauser, R.F.,
A Stochastic Approach to Edge Detection,
ICPR84(52-54). BibRef 8400

Brown, C.M.,
Peak-Finding with Limited Hierarchical Memory,
ICPR84(246-249). BibRef 8400

Lee, D., Pavlidis, T., Huang, K.,
Edge Detection Through Residual Analysis,
CVPR88(215-222).
IEEE DOI BibRef 8800

Zhou, Y.T., Chellappa, R., Venkateswar, V.,
Edge Detection Using the Directional Derivatives of a Space Varying Correlated Random Field Model,
CVPR86(115-121). BibRef 8600

Witkin, A.P.[Andrew P.],
Intensity-Based Edge Classification,
AAAI-82(36-41). BibRef 8200

Etemadi, A.,
Robust Segmentation of Edge Data,
ICIPA92(xx-yy). Strider algorithm. BibRef 9200

Crevier, D., Yoo, H.J.,
A New Method for Straight Line and Circular Arc Extraction,
SPIE(2353), 1994, pp. 154-162. Similar to above algorithm. BibRef 9400

Peng, A., Dubuisson, B., Benjelloun, M.,
A study on the forms of smoothing filters for step and ramp edge detection,
ICPR92(III:741-744).
IEEE DOI 9208
BibRef

Boult, T.E., Wolff, L.B.,
Physically-based edge labeling,
CVPR91(656-662).
IEEE DOI 0403
BibRef

Chapter on Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform continues in
Edge Detectors Based on Learning, Neural Nets, etc. .