6.1.4 Multiple Resolution Edge Detectors to Improve Performance, Hierarchical, Multi-Scale

Chapter Contents (Back)
Edge Detection. Multiple Resolutions. Hierarchical. Edges, Multiple Scale. Scale Space.
See also Scale Space and Multi-Scale Techniques.

Kelly, M.D.,
Edge Detection by Computer Using Planning,
MI(VI), 1971, pp. 397-409. BibRef 7100 CMetImAly77(228-244). Multiple Resolutions. Edges, Multiple Scale. Generate a model of the edge locations using a reduced image, expand into the full size image. BibRef

Eberlein, R.B.[Robert B.], Weszka, J.S.,
Mixtures of Derivative Operators as Edge Detectors,
CGIP(4), No. 2, June 1975, pp. 180-183.
Elsevier DOI BibRef 7506

Eberlein, R.B.[Robert B.],
An Iterative Gradient Edge Detection Algorithm,
CGIP(5), No. 2, June 1976, pp. 245-253.
Elsevier DOI BibRef 7606

Kasvand, T.,
Iterative Edge Detection,
CGIP(4), No. 3, September 1975, pp. 279-286.
Elsevier DOI Repeated iterations give thinner edges. BibRef 7509

Modestino, J.W., Fries, R.W.,
Edge Detection in Noisy Images Using Recursive Digital Filtering,
CGIP(6), No. 5, October 1977, pp. 409-433.
Elsevier DOI BibRef 7710

Jain, R.C.[Ramesh C.], Rheaume, D.[Doug],
A Two-Stage Method for Fast Edge Detection,
CGIP(14), No. 2, October 1980, pp. 177-181.
Elsevier DOI BibRef 8010

Ranade, S.,
Use of Quadtrees for Edge Enhancement,
SMC(11), No. 5, May 1981, pp. 370-373. BibRef 8105

Gangolli, A.R., Tanimoto, S.L.,
Two Pyramid Machine Algorithms for Edge Detection in Noisy Binary Images,
IPL(17), 1983, pp. 197-202. BibRef 8300

Koenderink, J.J.,
The Structure of Two-Dimensional Scalar Fields with Applications to Vision,
BioCyber(33), 1979, pp. 151-158. BibRef 7900

Koenderink, J.J.,
The Structure of Images,
BioCyber(50), 1984, pp. 363-370. Scale Space.
Springer DOI Combine output of multiple scales.
See also Scale and the Differential Structure of Images. BibRef 8400

Shah, M.A.[Mubarak A.], Sood, A.[Arun], Jain, R.C.[Ramesh C.],
Pulse and Staircase Edge Models,
CVGIP(34), No. 3, June 1986, pp. 321-343.
Elsevier DOI BibRef 8606
Earlier:
Pulse and Staircase Models for Detecting Edges at Multiple Resolution,
CVWS85(84-95).
See also Performance Analysis of 1-D Scale-Space Algorithms for Pulse Detection in Noisy Image Scans.
See also Comments on Fingerprints of Two-Dimensional Edge Models. BibRef

Baugher, E.S.[Ernest S.], Rosenfeld, A.[Azriel],
Boundary Localization in an Image Pyramid,
PR(19), No. 5, 1986, pp. 373-395.
Elsevier DOI Local search to optimize poeition at lower levels in pyramid. BibRef 8600

Bergholm, F.[Fredrik],
Edge Focusing,
PAMI(9), No. 6, November 1987, pp. 726-741. BibRef 8711
Earlier: ICPR86 BibRef
And: TRITA-NA-8518, December 1985. The paper uses multiple levels of resolution to find the edge location more accurately. This limits noise of small detectors and improves the position of the large detectors. Compared in
See also Robust Visual Method for Assessing the Relative Performance of Edge Detection Algorithms, A. BibRef

Sjöberg, F., Bergholm, F.,
Extraction of Diffuse Edges by Edge Focusing,
PRL(7), March 1988, pp. 181-190. BibRef 8803

McLean, G.F., Jernigan, M.E.,
Hierarchical Edge Detection,
CVGIP(44), No. 3, December 1988, pp. 350-366.
Elsevier DOI BibRef 8812

Shibazaki, H.[Hiroshi],
Method of and apparatus for generating high-resolution binary image data with respect to linear edges,
US_Patent4,751,585, Jun 14, 1988
WWW Link. BibRef 8806

Lohscheller, H.[Herbert],
Method of detecting boundary structures in a video signal,
US_Patent4,896,364, Jan 23, 1990
WWW Link. Only oblique edges. BibRef 9001

Deriche, R.,
Fast Algorithms for Low-Level Vision,
PAMI(12), No. 1, January 1990, pp. 78-87.
IEEE DOI BibRef 9001
Earlier: ICPR88(I: 434-438).
IEEE DOI Use exponentially based filter family and use recursive filtering. Fast computation of multiscale Laplacian edge detector. BibRef

Goshtasby, A.[Ardeshir],
On Edge Focusing,
IVC(12), No. 4, May 1994, pp. 247-256.
Elsevier DOI Track edges from LoG operator. BibRef 9405

Mallat, S.G., Zhong, S.,
Characterization of Signals for Multiscale Edges,
PAMI(14), No. 7, July 1992, pp. 710-732.
IEEE DOI Wavelets. BibRef 9207
Earlier:
Signal Characterization from Multiscale Edges,
ICPR90(I: 891-896).
IEEE DOI BibRef
And: A2, A1:
Compact Image Representation from Multiscale Edges,
ICCV90(522-525).
IEEE DOI A multi-scale Canny is equivalent to the local maxima of a wavelet transform. BibRef

Paik, J.K.[Joon K.], Brailean, J.C.[James C.], Katsaggelos, A.K.[Aggelos K.],
An Edge Detection Algorithm Using Multi-State Adalines,
PR(25), No. 12, December 1992, pp. 1495-1504.
Elsevier DOI BibRef 9212

Tan, C.L., Loh, S.K.K.,
Efficient Edge Detection Using Hierarchical Structures,
PR(26), No. 1, January 1993, pp. 127-135.
Elsevier DOI BibRef 9301

Navangirne, A., Rispoli, G.,
An Efficient Multi-Resolution Edge Detector Employing a Wide Range of Scales,
VC(9), 1992, pp. 61-72. BibRef 9200

Jeong, H., Kim, C.I.,
Adaptive Determination of Filter Scales for Edge Detection,
PAMI(14), No. 5, May 1992, pp. 579-585.
IEEE DOI Adaptive Filters. Essentially, keeps strong edges at finer scales. BibRef 9205

Hummel, R.A., Moniot, R.[Robert],
Reconstructions from Zero-Crossings in Scale-Space,
ASSP(37), No. 12, December 1989, pp. 2111-2130. BibRef 8912
Earlier:
A Network Approach to Reconstructions from Zero-Crossings,
CVWS87(8-13). The analysis of zero-crossings as a general representation. The gradient is also needed, but the representation is not totally stable. And reconstruction of the original image given a series of zero-crossings for different resolutions. BibRef

Hummel, R.A.,
Representations Based on Zero-Crossings in Scale-Space,
CVPR86(204-209). BibRef 8600
And: RCV87(753-758). BibRef

Liu, Z.Q., Rangayyan, R.M., Frank, C.B.,
Directional Analysis of Images in Scale Space,
PAMI(13), No. 11, November 1991, pp. 1185-1192.
IEEE DOI Applications from another domain, and references in other than computer vision literature. BibRef 9111

Fleck, M.M.[Margaret M.],
Multiple Widths Yield Reliable Finite Differences,
PAMI(14), No. 4, April 1992, pp. 412-429.
IEEE DOI BibRef 9204
Earlier: ICCV90(58-61).
IEEE DOI Many references to basic edge detectors. Fewer problems with detail and corners. BibRef

Fleck, M.M.[Margaret M.],
Practical Edge Finding with a Robust Estimator,
CVPR94(649-653).
IEEE DOI
PS File. BibRef 9400

Fleck, M.M.[Margaret M.],
Spectre: An Improved Phantom Edge Finder,
Alvey89(127-132). BibRef 8900

Mintz, D.,
Robust Consensus Based Edge-Detection,
CVGIP(59), No. 2, March 1994, pp. 137-153.
DOI Link BibRef 9403
Earlier: CVPR92(651-653).
IEEE DOI Combine several detectors.
See also Robust Regression Methods for Computer Vision: A Review. BibRef

Calway, A.D., Wilson, R.,
Curve Extraction in Images Using a Multiresolution Framework,
CVGIP(59), No. 3, May 1994, pp. 359-366.
DOI Link BibRef 9405

Wilson, R., Bhalerao, A.H.,
Kernel Designs for Efficient Multiresolution Edge Detection and Orientation Estimation,
PAMI(14), No. 3, March 1992, pp. 384-390.
IEEE DOI BibRef 9203

Clark, J.J.[James J.],
Singularity Theory and Phantom Edges in Scale Space,
PAMI(10), No. 5, September 1988, pp. 720-727.
IEEE DOI BibRef 8809
Earlier:
Singularities of Contrast Functions in Scale Space,
ICCV87(491-495). Scale Space. The effect of different scales on the position of zero crossings. BibRef

Williams, D.J.[Donna J.], Shah, M.A.[Mubarak A.],
Edge Contours using Multiple Scales,
CVGIP(51), No. 3, September 1990, pp. 256-274.
Elsevier DOI BibRef 9009
Earlier: ECCV90(66-70).
Springer DOI 9004
Trace contours using the strongest edges chosen from the multiple scales. BibRef

Williams, D.J.[Donna J.], Shah, M.A.[Mubarak A.],
Edge Characterization Using Normalized Edge Detector,
GMIP(55), No. 4, July 1993, pp. 311-yy. BibRef 9307
Earlier:
Normalized edge detector,
ICPR90(I: 942-946).
IEEE DOI 9006
BibRef

Ulupinar, F., Medioni, G.G.,
Refining Edges Detected by a LoG Operator,
CVGIP(51), No. 3, September 1990, pp. 275-298.
Elsevier DOI BibRef 9009 USC Computer Vision BibRef
Earlier: CVPR88(202-207).
IEEE DOI BibRef
And:
Estimation and Accurate Localization of Edges,
DARPA87(968-980). Study of the location of the zero crossing w.r.t. the actual edge. BibRef

Chen, J.S., Medioni, G.G.,
Detection, Localization, and Estimation of Edges,
PAMI(11), No. 2, February 1989, pp. 191-198.
IEEE DOI BibRef 8902 USC Computer Vision BibRef
Earlier: CVWS87(215-217). BibRef
And: DARPA87(988-1000). Study the effects of the location of the zero crossings with respect to the edge locations. Then process the series of zero crossing locations to find the edge location in 1-D slices through the data. BibRef

Tagare, H.D., de Figueiredo, R.J.P.,
On the Localization Performance Measure and Optimal Edge Detection,
PAMI(12), No. 12, December 1990, pp. 1186-1190.
IEEE DOI BibRef 9012
And: Reply to comments: PAMI(16), No. 1, January 1994, pp. 108-110.
IEEE DOI Analysis of edge detectors, especially Canny, and problems. BibRef

Boyer, K.L., Sarkar, S.,
Comments on 'On the Localization Performance Measure and Optimal Edge Detection',
PAMI(16), No. 1, January 1994, pp. 106-108.
IEEE DOI Claims that their flaw in Canny is only in derivation, not in form. BibRef 9401

Tagare, H.D., de Figueiredo, R.J.P.,
Authors' Reply,
PAMI(16), No. 1, January 1994 pp. 108-110. BibRef 9401

Lu, Y., Jain, R.C.,
Reasoning about Edges in Scale Space,
PAMI(14), No. 4, April 1992, pp. 450-468.
IEEE DOI Scale Space. BibRef 9204

Lu, Y., Jain, R.C.,
Behavior of Edges in Scale Space,
PAMI(11), No. 4, April 1989, pp. 337-356.
IEEE DOI Scale Space. Analyzes edges at different scales to generate rules to describe the behavior. BibRef 8904

van Warmerdam, W.L.G., Algazi, V.R.,
Describing 1-D Intensity Transistions with Gaussian Derivatives at the Resolutions Matching the Transition Widths,
PAMI(11), No. 9, September 1989, pp. 973-977.
IEEE DOI Apply multiple widths, estimate the width and choose the one that is best. BibRef 8909

Forshaw, M.R.B.,
Speeding Up the Marr-Hildreth Edge Operator,
CVGIP(41), No. 2, February 1988, pp. 172-185.
Elsevier DOI Which way is fastest. BibRef 8802

Nalwa, V.S.,
Edge-Detector Resolution Improvement by Image Interpolation,
PAMI(9), No. 3, May 1987, pp. 446-451. BibRef 8705
Earlier: DARPA87(981-987).
See also Detection, Localization, and Estimation of Edges. for similar intent. BibRef

Nitzberg, M., Shiota, T.,
Nonlinear Image Filtering with Edge and Corner Enhancement,
PAMI(14), No. 8, August 1992, pp. 826-833.
IEEE DOI BibRef 9208

Ziou, D.[Djemel], Tabbone, S.A.[Salvatore A.],
A Multiscale Edge Detector,
PR(26), No. 9, September 1993, pp. 1305-1314. BibRef 9309
And: A2, A1:
Elsevier DOI
Efficient Edge Detection Using Two Scales,
CVPR93(789-790).
IEEE DOI BibRef

Ziou, D.[Djemel], Koukam, A.,
The Selection of Edge Detectors Using Local Image Structure,
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Meer, P.[Peter], Wang, S.J.[Shi-Jie], Wechsler, H.[Harry],
Edge Detection by Associative Mapping,
PR(22), No. 5, 1989, pp. 491-503.
Elsevier DOI BibRef 8900
Earlier:
Edge Detection in Feature Space,
CVWS87(218-220). BibRef

Jolion, J.M.[Jean-Michel], Meer, P.[Peter], Rosenfeld, A.[Azriel],
Border Delineation in Image Pyramids by Concurrent Tree Growing,
PRL(11), 1990, pp. 107-115. Pyramids.
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Morrone, M.C., Burr, D.,
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RoyalP(B-235), 1988, pp. 221-245. BibRef 8800

Morrone, M.C., Burr, D.,
Feature Detection from Local Energy,
PRL(6), 1987, pp. 303-313. Multiple filters for edge detection. BibRef 8700

Morrone, M.C., Navangione, A., Burr, D.,
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PR(28), No. 2, February 1995, pp. 211-229.
Elsevier DOI BibRef 9502

Basu, A., Jain, M.K., Li, X.B.,
Improving Boundary Detection Using Variable Resolution Masks,
PRL(16), No. 11, November 1995, pp. 1205-1211. BibRef 9511

Shen, J.[Jun],
Multiedge Detection by Isotropical 2-D ISEF Cascade,
PR(28), No. 12, December 1995, pp. 1871-1885.
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Wilson, M.J.D.,
Adaptive Windows: Edges, Stereopsis, and Stripes,
PRL(4), 1986, pp. 351-358. BibRef 8600

Wu, P.S., Li, M.,
Pyramid Edge-Detection Based on Stack Filter,
PRL(18), No. 3, March 1997, pp. 239-248. 9706
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Li, M., Wu, P.S.,
Pyramid Edge-Detection for Color Images,
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IVC(15), No. 7, July 1997, pp. 511-527.
Elsevier DOI 9708

See also Image Registration Using a New Edge-Based Approach. BibRef

Alvarez, L., Morales, F.,
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IJCV(25), No. 2, November 1997, pp. 95-107.
DOI Link 9712
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Alvarez, L.[Luis],
Corner Detection Using the Affine Morphological Scale Space,
SSVM17(29-40).
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Garcia-Silvente, M., Garcia, J.A., Fdez Valdivia, J., Garrido, A.,
A New Edge Detector Integrating Scale-Spectrum Information,
IVC(15), No. 12, December 1997, pp. 913-923.
Elsevier DOI 9802
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Olson, C.F.[Clark F.],
Adaptive-Scale Filtering and Feature Detection Using Range Data,
PAMI(22), No. 9, September 2000, pp. 983-991.
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Olson, C.F.[Clark F.],
Variable-Scale Smoothing and Edge Detection Guided by Stereoscopy,
CVPR98(80-85).
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Elder, J.H.[James H.], Zucker, S.W.[Steven W.],
Local Scale Control for Edge Detection and Blur Estimation,
PAMI(20), No. 7, July 1998, pp. 699-716.
IEEE DOI 9808
BibRef
Earlier: ECCV96(II:55-69).
Springer DOI BibRef
And:
Scale Space Localization, Blur, and Contour-Based Image Coding,
CVPR96(27-34).
IEEE DOI How to get around the problem in natural images where the edge is not a sharp change in intensity. Find the proper scale to describe the edge. For one test, shows comparison with the "usual" Canny (
See also Computational Approach to Edge Detection, A. ), Nalwa-Binford (
See also On Detecting Edges. ), Iverson-Zucker (
See also Logical/Linear Operators for Image Curves. ), Bergholm (
See also Edge Focusing. ), and Rothwell. (
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Elder, J.H.[James H.],
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Estrada, F.J.[Francisco J.], Elder, J.H.[James H.],
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Brown, M.A., Blackwell, K.T., Khalak, H.G., Barbour, G.S., Vogl, T.P.,
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Vitulano, S., di Ruberto, C., Nappi, M.,
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Multiscale Edge-Detection on Range Images Via Normal Changes,
CirSysSignal(45), No. 8, August 1998, pp. 1087-1092. 9809
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Earlier:
Multiscale edge detection via normal changes,
CIAP97(I: 22-29).
Springer DOI 9709
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Folsom, T.C.[Tyler C.], Pinter, R.B.[Robert B.],
Primitive Features by Steering, Quadrature, and Scale,
PAMI(20), No. 11, November 1998, pp. 1161-1173.
IEEE DOI 9811
At the right scale the edge should be clear. BibRef

Lindeberg, T.[Tony],
Edge Detection and Ridge Detection with Automatic Scale Selection,
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Earlier: SSAB96(xx). BibRef
And:
Edge Detection with Automatic Scale Selection,
CVPR96(465-470).
IEEE DOI For junctions:
See also Junction Detection with Automatic Selection of Detection Scales and Localization Scales.
See also Feature Detection with Automatic Scale Selection. BibRef

Liang, K.H.[Kung-Hao], Tjahjadi, T.[Tardi], Yang, Y.H.[Yee-Hong],
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Liang, K.H., Tjahjadi, T., Yang, Y.H.,
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Davies, E.R.,
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SP(26), No. 1, 1992, pp. 1-16. BibRef 9200

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Statistical edge detection: learning and evaluating edge cues,
PAMI(25), No. 1, January 2003, pp. 57-74.
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Earlier:
Fundamental Bounds on Edge Detection: An Information Theoretic Evaluation of Different Edge Cues,
CVPR99(I: 573-579).
IEEE DOI Multiple resolution, color. BibRef

Sun, J.X.[Jun-Xi], Gu, D.B.[Dong-Bing], Chen, Y.Z.[Ya-Zhu], Zhang, S.[Su],
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A fast multiscale edge detection algorithm based on a new edge preserving PDE resolution scheme,
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IEEE DOI 0409
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Kihl, O., Tremblais, B.[Benoit], Augereau, B.[Bertrand],
Multivariate orthogonal polynomials to extract singular points,
ICIP08(857-860).
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Springer DOI 0702
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Earlier: A1, A2 Only:
Steering in Scale Space to Optimally Detect Image Structures,
ECCV04(Vol I: 482-494).
Springer DOI 0405

See also Obtaining medial responses from steerable filters.
See also Steerable Complex Wavelet Construction and Its Application to Image Denoising, A. Detect features at an optimal scale. BibRef

Heric, D.[Dusan], Zazula, D.[Damjan],
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Hussain, M.[Muhammad], Abdukirim, T.[Turghunjan], Okada, Y.[Yoshihiro],
Wavelet-based Edge Detection In Digital Images,
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Yi, S.[Sheng], Labate, D.[Demetrio], Easley, G.R.[Glenn R.], Krim, H.[Hamid],
A Shearlet Approach to Edge Analysis and Detection,
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IEEE DOI 0904
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Earlier:
Edge detection and processing using shearlets,
ICIP08(1148-1151).
IEEE DOI 0810

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Guo, K.[Kanghui], Labate, D.[Demetrio],
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Edge adapted nonlinear multiscale transforms for compact image representation,
ICIP03(I: 701-704).
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Cohen, A., Matei, B.,
Compact Representation of Images by Edge Adapted Multiscale Transforms,
ICIP01(I: 8-11).
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Lisowska, A.[Agnieszka],
Edge Detection by Sliding Wedgelets,
ICIAR11(I: 50-57).
Springer DOI 1106
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Earlier:
Efficient Denoising of Images with Smooth Geometry,
SCIA09(617-625).
Springer DOI 0906
BibRef
And:
Geometrical Multiscale Noise Resistant Method of Edge Detection,
ICIAR08(xx-yy).
Springer DOI 0806
BibRef

Liang, J.[Jiayu], Yuen, S.Y.[Shiu Yin],
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Automatic false edge elimination using locally adaptive regression kernel,
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Springer DOI 1509
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Duval-Poo, M.A., Odone, F., de Vito, E.,
Edges and Corners With Shearlets,
IP(24), No. 11, November 2015, pp. 3768-3780.
IEEE DOI 1509
edge detection BibRef

Charpentier, A.[Arthur], Gallic, E.[Ewen],
Kernel density estimation based on Ripley's correction,
GeoInfo(20), No. 1, January 2016, pp. 95-116.
Springer DOI 1601
BibRef

Zhang, Y.H.[Ying-Hui], Wang, H.J.[Hong-Jun], Zhou, H.X.[Heng-Xue], Deng, P.[Ping],
A Mixture Model for Image Boundary Detection Fusion,
IEICE(E101-D), No. 4, April 2018, pp. 1159-1166.
WWW Link. 1804
BibRef

Cao, Y.J., Lin, C., Li, Y.J.,
Learning Crisp Boundaries Using Deep Refinement Network and Adaptive Weighting Loss,
MultMed(23), 2021, pp. 761-771.
IEEE DOI 2102
Image edge detection, Feature extraction, Computer architecture, Task analysis, Image color analysis, Fuses, multi-scale integration BibRef

Isar, A.[Alexandru], Nafornita, C.[Corina], Magu, G.[Georgiana],
Hyperanalytic Wavelet-Based Robust Edge Detection,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Wang, K.[Ke], Rohde, G.K.[Gustavo K.], Xiao, J.[Jian],
Edge feature enhancement approach using hilbert transform of Cauchy distribution and its applications,
IET-IPR(15), No. 12, 2021, pp. 2891-2909.
DOI Link 2109
BibRef

Meherhomji, V.[Vishtasp], Shenoy, K.B.A.[K.B. Ajitha],
An improved edge detection technique,
IJCVR(11), No. 6, 2021, pp. 653-670.
DOI Link 2111
BibRef

Liu, H.J.[Hua-Jun], Yang, Z.Y.[Zu-Yuan], Zhang, H.F.[Hao-Feng], Wang, C.L.[Cai-Ling],
Edge detection with attention: From global view to local focus,
PRL(154), 2022, pp. 99-109.
Elsevier DOI 2202
Edge detection, Global attention, Local attention, Generalized zero shot learning, Pseudo distribution, Attribute similarity BibRef

Xu, S.C.[Shao-Cong], Chen, X.X.[Xiao-Xue], Zheng, Y.H.[Yu-Hang], Zhou, G.[Guyue], Chen, Y.R.[Yu-Rong], Zha, H.B.[Hong-Bin], Zhao, H.[Hao],
ECT: Fine-grained edge detection with learned cause tokens,
IVC(143), 2024, pp. 104947.
Elsevier DOI Code:
WWW Link. 2403
Edge detection, Edge cause, Fine-grained edge detection, Multi-task learning BibRef

Jing, D.D.[Dong-Dong], Shao, H.K.[Hui-Kai], Zhong, D.X.[De-Xing],
Boosting edge detection via Fusing Spatial and Frequency Domains,
PR(155), 2024, pp. 110699.
Elsevier DOI Code:
WWW Link. 2408
Edge detection, Frequency perception, Multi-scale enhancement, Spatial-Frequency Fusion BibRef

Zhou, C.X.[Cai-Xia], Huang, Y.P.[Ya-Ping], Pu, M.Y.[Meng-Yang], Guan, Q.J.[Qing-Ji], Deng, R.X.[Ruo-Xi], Ling, H.B.[Hai-Bin],
MuGE: Multiple Granularity Edge Detection,
CVPR24(25952-25962)
IEEE DOI 2410
Image segmentation, Annotations, Image edge detection, Frequency-domain analysis, Detectors, Benchmark testing BibRef

Liu, Y., Lew, M.S.,
Learning Relaxed Deep Supervision for Better Edge Detection,
CVPR16(231-240)
IEEE DOI 1612
BibRef

Ulloa, G.[Gustavo], Allende-Cid, H.[Héctor], Allende, H.[Héctor],
Image Edge Detection Based on a Spatial Autoregressive Bootstrap Approach,
CIARP15(408-415).
Springer DOI 1511
BibRef