Cooper, D.B.[David B.],
Sung, F.P.[Francis P.],
Multiple-Window Parallel Adaptive Boundary Finding in Computer Vision,
PAMI(5), No. 3, May 1983, pp. 299-316.
Divide the image into windows, find a boundary across the window, between
the object and the background, merge the boundaries in adjacent windows.
BibRef
8305
Cooper, D.B.[David B.],
Sung, F.P.[Francis P.],
Schenker, P.S.,
Toward a Theory of Multiple-Window Algorithms for Fast
Adaptive Boundary Finding in Computer Vision,
ICPR80(1278-1284).
BibRef
8000
de Souza, P.[Peter],
Edge Detection Using Sliding Statistical Tests,
CVGIP(23), No. 1, July 1983, pp. 1-14.
Elsevier DOI
BibRef
8307
Selmane, M.K.,
Allen, C.R.,
Implementation of a Fast Programmable Edge Detection Preprocessor,
PRL(1), 1983, pp. 423-427.
BibRef
8300
Bartliff, D.J.,
An Automatic Procedure for Image Segmentation,
PRL(1), 1983, pp. 435-442.
BibRef
8300
Song, X.,
Neuvo, Y.,
Robust Edge Detection Based on Morphological Filters,
PRL(14), 1993, pp. 889-894.
BibRef
9300
Wu, Q.M.,
Rodd, M.G.,
Fast Boundary Extraction for Industrial Inspection,
PRL(12), 1991, pp. 483-489.
BibRef
9100
Seeger, U.,
Seeger, R.,
A Fast Algorithm for Encoding the Image Structure by Edge Directions,
PRL(12), 1991, pp. 611-617.
BibRef
9100
Venkatesh, S.,
Owens, R.,
On the Classification of Image Features,
PRL(11), 1990, pp. 339-349.
Gabor and three-point filters.
BibRef
9000
Lalitha, L.,
Dutta Majumder, D.,
A New Linear Feature Detection Technique Based on
Second Order Neighbors,
PRL(11), 1990, pp. 561-569.
BibRef
9000
Poggio, T.[Tomaso],
Voorhees, H.[Harry],
Yuille, A.L.[Alan L.],
A Regularized Solution to Edge Detection,
Complexity(4), 1988, pp. xx-yy.
BibRef
8800
Earlier:
MIT AI Memo-833, April 1985.
WWW Link.
BibRef
Kundu, M.K.,
Pal, S.K.,
Thresholding for Edge Detection Using Human Psychovisual Phenomena,
PRL(4), 1986, pp. 433-441.
BibRef
8600
Sleigh, A.C.,
The Extraction of Boundaries Using Local Measures Driven by Rules,
PRL(4), 1986, pp. 247-258.
BibRef
8600
Bennamoun, M.,
Boashash, B.,
A Probabilistic Approach for Automatic Parameters Selection for the
Hybrid Edge Detector,
IEICE(E80-A), No. 8, August 1997, pp. 1423-1429.
9709
BibRef
Chatterjee, N.,
Pal, P.,
Das, J.,
Boundary Extraction of Sodar Images,
SP(62), No. 2, October 1997, pp. 229-235.
9801
BibRef
Deng, G.,
Pinoli, J.C.,
Differentiation-Based Edge-Detection Using the Logarithmic
Image-Processing Model,
JMIV(8), No. 2, March 1998, pp. 161-180.
DOI Link
9803
See also Entropy Interpretation of the Logarithmic Image Processing Model With Application to Contrast Enhancement, An.
BibRef
Deng, G.[Guang],
A Statistical Framework for Generalized Linear Image Processing Systems,
JMIV(58), No. 1, May 2017, pp. 2-26.
WWW Link.
1704
BibRef
Chanda, B.[Bhabatosh],
Kundu, M.K.[Malay K.],
Padmaja, Y.V.[Y. Vani],
A Multiscale Morphologic Edge Detector,
PR(31), No. 10, October 1998, pp. 1469-1478.
Elsevier DOI
9808
BibRef
Reveilles, J.P.,
Yaacoub, J.,
Maximum Area Triangle Operator For Edge-Detection,
JEI(6), No. 4, October 1997, pp. 406-414.
9807
BibRef
Czerwinski, R.N.,
Jones, D.L.,
O'Brien, W.D.,
Line and Boundary Detection in Speckle Images,
IP(7), No. 12, December 1998, pp. 1700-1714.
IEEE DOI
9812
BibRef
Desolneux, A.[Agnès],
Moisan, L.[Lionel],
Morel, J.M.[Jean-Michel],
Edge Detection by Helmholtz Principle,
JMIV(14), No. 3, May 2001, pp. 271-284.
DOI Link
0106
See also grouping principle and four applications, A.
BibRef
Abraham, I.,
Abraham, R.,
Desolneux, A.[Agnès],
Te, S.L.T.[Sebastien Li-Thiao],
Significant edges in the case of non-stationary Gaussian noise,
PR(40), No. 11, November 2007, pp. 3277-3291.
Elsevier DOI
0707
Edge detection; Significant edges; Inverse problem;
Statistical hypothesis testing
BibRef
Sun, G.Y.[Gen-Yun],
Liu, Q.H.[Qin-Huo],
Liu, Q.A.[Qi-Ang],
Ji, C.Y.[Chang-Yuan],
Li, X.W.[Xiao-Wen],
A novel approach for edge detection based on the theory of universal
gravity,
PR(40), No. 10, October 2007, pp. 2766-2775.
Elsevier DOI
0707
Edge detection; Image processing; The law of universal gravity
BibRef
Lopez-Molina, C.[Carlos],
Bustince, H.,
Fernandez, J.,
Couto, P.,
de Baets, B.[Bernard],
A gravitational approach to edge detection based on triangular norms,
PR(43), No. 11, November 2010, pp. 3730-3741.
Elsevier DOI
1008
Triangular norm; Edge detection; Image processing
BibRef
Lopez-Molina, C.[Carlos],
de Baets, B.[Bernard],
Bustince, H.,
Generating fuzzy edge images from gradient magnitudes,
CVIU(115), No. 11, November 2011, pp. 1571-1580.
Elsevier DOI
1110
Edge detection; Image processing; Fuzzy image processing
BibRef
Lopez-Molina, C.[Carlos],
de Baets, B.[Bernard],
Bustince, H.,
Quantitative error measures for edge detection,
PR(46), No. 4, April 2013, pp. 1125-1139.
Elsevier DOI
1301
Edge detection; Image processing; Performance evaluation
BibRef
Lopez-Molina, C.,
Galar, M.,
Bustince, H.,
de Baets, B.,
On the impact of anisotropic diffusion on edge detection,
PR(47), No. 1, 2014, pp. 270-281.
Elsevier DOI
1310
Image regularization
BibRef
Lopez-Molina, C.,
Bustince, H.,
de Baets, B.,
Separability Criteria for the Evaluation of Boundary Detection
Benchmarks,
IP(25), No. 3, March 2016, pp. 1047-1055.
IEEE DOI
1602
edge detection
BibRef
Wang, G.[Gang],
Lopez-Molina, C.[Carlos],
de Baets, B.[Bernard],
Multiscale Edge Detection Using First-Order Derivative of Anisotropic
Gaussian Kernels,
JMIV(61), No. 8, October 2019, pp. 1096-1111.
Springer DOI
1909
BibRef
Wang, G.[Gang],
de Baets, B.[Bernard],
Contour detection based on anisotropic edge strength and hierarchical
superpixel contrast,
SIViP(13), No. 8, November 2019, pp. 1657-1665.
WWW Link.
1911
BibRef
Liu, Y.[Yun],
Cheng, M.M.[Ming-Ming],
Hu, X.W.[Xiao-Wei],
Bian, J.W.[Jia-Wang],
Zhang, L.[Le],
Bai, X.[Xiang],
Tang, J.H.[Jin-Hui],
Richer Convolutional Features for Edge Detection,
PAMI(41), No. 8, August 2019, pp. 1939-1946.
IEEE DOI
1907
Image edge detection, Feature extraction,
Detectors, Training, Computer architecture, Task analysis,
richer convolutional features
BibRef
Liu, Y.[Yun],
Cheng, M.M.[Ming-Ming],
Hu, X.W.[Xiao-Wei],
Wang, K.[Kai],
Bai, X.[Xiang],
Richer Convolutional Features for Edge Detection,
CVPR17(5872-5881)
IEEE DOI
1711
Same title, slightly different authors.
Feature extraction, Image color analysis,
Image edge detection, Lead, Machine, learning
BibRef
Singh, K.K.,
Bajpai, M.K.,
Pandey, R.K.,
A Novel Approach for Edge Detection of Low Contrast Satellite Images,
PIA15(211-217).
DOI Link
1504
BibRef
Mittal, A.[Ajay],
Sofat, S.[Sanjeev],
Hancock, E.R.[Edwin R.],
Mousset, S.[Stéphane],
A Statistical Operator for Detecting Weak Edges in Low Contrast Images,
ICIAR12(I: 89-96).
Springer DOI
1206
BibRef
Touqir, I.[Imran],
Saleem, M.[Muhammad],
Novel Edge Detector,
IWCIA08(xx-yy).
Springer DOI
0804
BibRef
Chartier, S.,
Lepage, R.,
Learning and extracting edges from images by a modified Hopfield neural
network,
ICPR02(III: 431-434).
IEEE DOI
0211
BibRef
Lee, M.,
Leung, S.,
Pun, T.,
Cheung, H.,
Edge Detection by Genetic Algorithm,
ICIP00(Vol I: 478-480).
IEEE DOI
0008
BibRef
Song, Y.W.[Young-Won],
Udpa, S.S.[Satish S.],
A New Edge Detection Algorithm Using Data Fusion Approaches,
ICIP99(II:720-724).
IEEE Abstract.
BibRef
9900
Lai, G.C.[George C.],
de Figueiredo, R.J.P.[Rui J.P.],
Robust Extraction of Low Contrast Edges using Clustering-based
Segmentation and Refinement,
ICIP99(II:700-704).
IEEE Abstract.
BibRef
9900
Liu, S.S.,
Twu, J.H.,
Wang, S.J.,
Image Representation Using Curvature Information in
Intensity Profiles,
ICIP97(II: 720-723).
IEEE DOI
9710
BibRef
Lorca, F.,
Kessal, L.,
Demigny, D.,
Efficient ASIC and FPGA Implementations of IIR Filters for Real Time
Edge Detection,
ICIP97(II: 406-409).
IEEE DOI
BibRef
9700
Wright, A.,
Acton, S.,
Watershed Pyramids for Edge Detection,
ICIP97(II: 578-581).
IEEE DOI
BibRef
9700
Wang, S.,
Ziou, D.,
Benie, G.B.,
A Competitive and Cooperative Neural Network for Line Detection,
International
Conferenceon
Neural Network and its Applications, 1995, pp. 304-307.
Neural networks.
BibRef
9500
Ziou, D.,
Noise Estimation from Step Edge Operator Responses,
SCIA93(1397-1402).
Noise Estimation.
BibRef
9300
Healey, G.[Glenn],
Sanz, J.L.C.[Jorge L.C.],
CONTAM: An Edge-Based Approach to Segmenting Images with
Irregular Objects,
CVPR85(485-490).
(IBM San Jose),
How it is better is not clear. Classification into two classes.
BibRef
8500
Richards, W.A.,
Nishihara, H.K.,
Dawson, B.,
CARTOON: A Biologically Motivated Edge Detection Algorithm,
MIT AI Memo-668, June 1982.
BibRef
8206
Geuen, W.,
A Fast Edge Detection Algorithm Matching Visual Contour Perception,
ISPDSA83(483-492).
BibRef
8300
Chapter on Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform continues in
Computation of Edges in Range, Depth or Multi-Dimensional Data .