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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.Y.[Zhi-Yi],
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. .