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

Chapter Contents (Back)
Edge Detection. Multiple Resolutions. 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., Weszka, J.S.,
Mixtures of Derivative Operators as Edge Detectors,
CGIP(4), No. 2, June 1975, pp. 180-183.
WWW Link. BibRef 7506

Eberlein, R.B.,
An Iterative Gradient Edge Detection Algorithm,
CGIP(5), No. 2, June 1976, pp. 245-253.
WWW Link. BibRef 7606

Kasvand, T.,
Iterative Edge Detection,
CGIP(4), No. 3, September 1975, pp. 279-286.
WWW Link. BibRef 7509

Modestino, J.W., Fries, R.W.,
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CGIP(6), No. 5, October 1977, pp. 409-433.
WWW Link. BibRef 7710

Jain, R., Rheaume, D.,
A Two-Stage Method for Fast Edge Detection,
CGIP(14), No. 2, October 1980, pp. 177-181.
WWW Link. 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,
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Koenderink, J.J.,
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Koenderink, J.J.,
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Springer DOI Combine output of multiple scales. See also Scale and the Differential Structure of Images. BibRef 8400

Shah, M.A., Sood, A.K., Jain, R.,
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CVGIP(34), No. 3, June 1986, pp. 321-343.
WWW Link. 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. BibRef

Baugher, E.S., Rosenfeld, A.,
Boundary Localization in an Image Pyramid,
PR(19), No. 5, 1986, pp. 373-395.
WWW Link. 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., and 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.
WWW Link. 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.,
On Edge Focusing,
IVC(12), No. 4, May 1994, pp. 247-256.
WWW Link. BibRef 9405

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

Zhong, S., and Mallat, S.G.,
Compact Image Representation from Multiscale Edges,
ICCV90(522-525).
IEEE DOI BibRef 9000

Pack, J.K., Brailean, J.C., Katsaggelos, A.K.,
An Edge Detection Algorithm Using Multi-State Adalines,
PR(25), No. 12, December 1992, pp. 1495-1504.
WWW Link. BibRef 9212

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

Lu, S., Szeto, A.,
Hierarchical Artificial Neural Networks for Edge Enhancement,
PR(26), No. 8, August 1993, pp. 1149-1163.
WWW Link. BibRef 9308

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., and 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., and 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., and 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.,
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.,
Practical Edge Finding with a Robust Estimator,
CVPR94(649-653).
IEEE DOI
PS File. BibRef 9400

Fleck, M.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.
WWW 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.
WWW Link. BibRef 9405

Wilson, R., and 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.[Mubarak],
Edge Contours using Multiple Scales,
CVGIP(51), No. 3, September 1990, pp. 256-274.
WWW Link. 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.[Mubarak],
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., and Medioni, G.G.,
Refining Edges Detected by a LoG Operator,
CVGIP(51), No. 3, September 1990, pp. 275-298.
WWW Link. 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., and 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., and 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., and 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., and de Figueiredo, R.J.P.,
Authors' Reply,
PAMI(16), No. 1, January 1994 pp. 108-110. BibRef 9401

Lu, Y., and 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., and 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., and 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.
WWW Link. 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., and 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., and Tabbone, S.A.,
A Multiscale Edge Detector,
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And: A2, A1:
WWW Link.
Efficient Edge Detection Using Two Scales,
CVPR93(789-790).
IEEE DOI BibRef

Ziou, D., and Koukam, A.,
The Selection of Edge Detectors Using Local Image Structure,
Conference- 7th International Conference on Tools with Artificial Intelligence, Virginia, 1995, pp. 366-370. BibRef 9500

Meer, P., Wang, S., and Wechsler, H.,
Edge Detection by Associative Mapping,
PR(22), No. 5, 1989, pp. 491-503.
WWW Link. BibRef 8900
Earlier:
Edge Detection in Feature Space,
CVWS87(218-220). BibRef

Jolion, J.M.[Jean-Michel], Meer, P.[Peter], and Rosenfeld, A.[Azriel],
Border Delineation in Image Pyramids by Concurrent Tree Growing,
PRL(11), 1990, pp. 107-115. Pyramids. See also Stochastic Image Pyramids. BibRef 9000

Morrone, M.C., and Burr, D.,
Feature Detection in Human Vision: A Phase Dependent Energy Model,
RoyalP(B-235), 1988, pp. 221-245. BibRef 8800

Morrone, M.C., and 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.,
An Adaptive Approach to Scale Selection for Line and Edge-Detection,
PRL(16), No. 7, July 1995, pp. 667-677. BibRef 9507

Park, D.J., Nam, K.M., Park, R.H.,
Multiresolution Edge-Detection Techniques,
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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.,
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,
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Wu, P.S., Li, M.,
Pyramid Edge-Detection Based on Stack Filter,
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Li, M., Wu, P.S.,
Pyramid Edge-Detection for Color Images,
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Hsieh, J.W., Ko, M.T., Liao, H.Y.M., Fan, K.C.,
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See also Image Registration Using a New Edge-Based Approach. BibRef

Alvarez, L., Morales, F.,
Affine Morphological Multiscale Analysis of Corners and Multiple Junctions,
IJCV(25), No. 2, November 1997, pp. 95-107.
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Feature extraction. BibRef

Alvarez, L.[Luis],
Corner Detection Using the Affine Morphological Scale Space,
SSVM17(29-40).
Springer DOI 1706
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Garcia-Silvente, M., Garcia, J.A., Fdez Valdivia, J., Garrido, A.,
A New Edge Detector Integrating Scale-Spectrum Information,
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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.
IEEE DOI
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Scale of filtering and feature detection varied locally according to the distance to the scene pixel -- estimated with stereo. BibRef

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. ( See also Driving Vision by Topology. ). BibRef

Elder, J.H.[James H.],
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Multi-Scale Contour Extraction Based on Natural Image Statistics,
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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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Earlier:
Multiscale edge detection via normal changes,
CIAP97(I: 22-29).
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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).
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Liang, K.H., Tjahjadi, T., Yang, Y.H.,
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Davies, E.R.,
A skimming technique for fast accurate edge detection,
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Statistical edge detection: learning and evaluating edge cues,
PAMI(25), No. 1, January 2003, pp. 57-74.
IEEE DOI 0301
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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],
A multiscale edge detection algorithm based on wavelet domain vector hidden Markov tree model,
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Earlier:
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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Ng, J.[Jeffrey], Bharath, A.A.[Anil A.], Kin, P.C.P.[Patrick Chow Pak],
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Springer DOI 0702
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Steering in Scale Space to Optimally Detect Image Structures,
ECCV04(Vol I: 482-494).
Springer DOI 0405
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Heric, D.[Dusan], Zazula, D.[Damjan],
Combined edge detection using wavelet transform and signal registration,
IVC(25), No. 5, 1 May 2007, pp. 652-662.
Elsevier DOI 0703
Edge model; Edge detection; Wavelet transform; Signal registration BibRef

Seetharaman, K., Krishnamoorthi, R.,
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Edge extraction; Full range autoregressive; Confidence limit; Nonmaxima suppression; Edge map; Residual BibRef

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A block-oriented restoration in gray-scale images using full range autoregressive model,
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Wu, J.B.[Jin-Bo], Yin, Z.[Zhouping], Xiong, Y.L.[You-Lun],
The Fast Multilevel Fuzzy Edge Detection of Blurry Images,
SPLetters(14), No. 5, May 2007, pp. 344-347.
IEEE DOI 0704
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Cao, W.P.[Wan-Peng], Che, R.S.[Ren-Sheng], Ye, D.[Dong],
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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
BibRef
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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SIIMS(2), No. 3, 2009, pp. 959-986.
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Negi, P.S., Labate, D.,
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Arandiga, F., Cohen, A., Donat, R., Matei, B.,
Edge detection insensitive to changes of illumination in the image,
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Edge detection; Multiscale analysis; Wavelet transform BibRef

Arandiga, F., Cohen, A., Doblas, M., Matei, B.,
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],
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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
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And:
Geometrical Multiscale Noise Resistant Method of Edge Detection,
ICIAR08(xx-yy).
Springer DOI 0806
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Liang, J.[Jiayu], Yuen, S.Y.[Shiu Yin],
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Edge detection BibRef

Swaminathan, A., Ramapackiyam, S.S.K.,
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Samah, H.A.[Hafizi Abu], Isa, N.A.M.[Nor Ashidi Mat], Toh, K.K.V.[Kenny Kal Vin],
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.
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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
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Xie, S.N.[Sai-Ning], Tu, Z.W.[Zhuo-Wen],
Holistically-Nested Edge Detection,
IJCV(125), No. 1-3, December 2018, pp. 3-18.
Springer DOI 1711
BibRef
Earlier: ICCV15(1395-1403)
IEEE DOI 1602
Award, Marr Prize, HM. Detectors. multi-scale. Edges from a neural model. Holistic training and multi-level learning. 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

Liu, X.M.[Xian-Ming], Wang, C.H.[Chang-Hu], Yao, H.X.[Hong-Xun], Zhang, L.[Lei],
The scale of edges,
CVPR12(462-469).
IEEE DOI 1208
BibRef

Kau, L.J.[Lih-Jen], Chen, C.S.[Chih-Shen],
A low complexity dual mode edge detector,
VCIP11(1-4).
IEEE DOI 1201
BibRef

Veelaert, P.[Peter], Heyvaert, M.[Michaël],
Reconstruction of Concurrent Lines from Leaning Points,
IWCIA11(182-193).
Springer DOI 1105
BibRef

Heyvaert, M.[Michaël], van Hamme, D.[David], Coppens, J.[Jonas], Veelaert, P.[Peter],
Combining Geometric Edge Detectors for Feature Detection,
ACIVS10(I: 221-232).
Springer DOI 1012
BibRef

Rousseau, S.[Sylvain], Helbert, D.[David], Carre, P.[Philippe], Blanc-Talon, J.[Jacques],
Metric tensor for multicomponent edge detection,
ICIP10(1953-1956).
IEEE DOI 1009
BibRef

Zhang, R.[Renqi], Ouyang, W.[Wanli], Cham, W.K.[Wai-Kuen],
Image multi-scale edge detection using 3-D Hidden Markov Model based on the non-decimated wavelet,
ICIP09(2173-2176).
IEEE DOI 0911
BibRef

Wang, H.Y.[Hui-Yan],
Research on Scale Selection in Image Edge Detection Methods Based on Wavelet Transform,
CISP09(1-5).
IEEE DOI 0910
BibRef

Zhang, L.[Lei], Xiao, M.[Mei], Ma, J.[Jian], Song, H.X.[Hong-Xun],
Edge Detection by Adaptive Neuro-Fuzzy Inference System,
CISP09(1-4).
IEEE DOI 0910
BibRef

Jiang, H.Y.[Hui-Yan], Cheng, Q.S.[Qing-Shui], Zhang, Y.[Yanan], Liu, H.J.[Hong-Juan], Wang, B.L.[Bei-Lei],
An Adaptive Gabor Filtering Method and Its Application in Edge Detection,
CISP09(1-4).
IEEE DOI 0910
BibRef

Hu, G.Q.[Guang-Qin], Tian, Y.H.[Yong-Hui], Xu, D.[Dan],
A Stylization Method for Edge Map Extraction,
CISP09(1-5).
IEEE DOI 0910
BibRef

Chang, Y.C.[Yu-Chou], Lee, D.J.[Dah-Jye], Hong, Y.[Yi], Archibald, J.[James],
Edge Detection from Global and Local Views Using an Ensemble of Multiple Edge Detectors,
ISVC08(II: 934-941).
Springer DOI 0812
BibRef

Aggoun, A., Khallil, M.,
Multi-Resolution Local Histogram Analysis for Edge Detection,
ICIP07(III: 45-48).
IEEE DOI 0709
BibRef

Giannarou, S.[Stamatia], Stathaki, T.[Tania],
Novel Statistical Approaches to the Quantitative Combination of Multiple Edge Detectors,
ICIAR06(I: 184-195).
Springer DOI 0610
BibRef

Xu, W.[Wei], Jenkin, M.R.M.[Michael R.M.], Lesperance, Y.[Yves],
A Multi-Channel Algorithm for Edge Detection Under Varying Lighting,
CVPR06(II: 1885-1892).
IEEE DOI 0606
BibRef

Xu, W.[Wei], Mulligan, J.[Jane],
A fast multi-channel edge detection algorithm for vision-based autonomous spacecraft docking,
WACV09(1-6).
IEEE DOI 0912
BibRef

Li, J.[Jia], Jing, X.J.[Xiao-Jun],
Edge detection based on decision-level information fusion and its application in hybrid image filtering,
ICIP04(I: 251-254).
IEEE DOI 0505
BibRef

Arbeláez, P.A.[Pablo Andrés], Cohen, L.D.[Laurent D.],
The Extrema Edges,
ScaleSpace03(180-195).
Springer DOI
PDF File. 0310
Two parts: the localization of possible edge points and their valuation. BibRef

Wang, Z.G.[Zhi-Gang], Wang, W.[Wei], Xu, X.M.[Xiao-Ming],
Fuzzy Linking Models for Pyramidal Edge Detection,
WSCG02(551).
PDF File.
HTML Version. 0209
BibRef

Tang, Y.[Yuan], Yang, L.H.[Li-Hua], Feng, L.[Li],
Characterization and Detection of Edges by Lipschitz Exponents and MASW Wavelet Transform,
ICPR98(Vol II: 1572-1574).
IEEE DOI 9808
BibRef

Marimont, D.H.[David H.], and Rubner, Y.[Yossi],
A Probabilistic Framework for Edge Detection and Scale Selection,
ICCV98(207-214).
IEEE DOI BibRef 9800

Siddique, J.I., Barner, K.E.,
Wavelet-based multiresolution edge detection utilizing gray level edge maps,
ICIP98(II: 550-554).
IEEE DOI 9810
BibRef

Ballet, P., Rodin, V.[Vincent], and Tisseau, J.,
Edge Detection Using a Multiagent System,
SCIA97(xx-yy) 9705

HTML Version. BibRef

Garcia Silvente, M.[Miguel], Garcia, J.A., Fdez Valdivia, J., and Garrido, A.,
Integrating Information About Edges Across Scale-Space,
SCIA97(xx-yy) 9705

HTML Version. BibRef

Demigny, D., Karabernou, M.,
An effective resolution definition or how to choose an edge detector, its scale parameter and the threshold?,
ICIP96(I: 829-832).
IEEE DOI 9610
BibRef

Alparone, L., Baronti, S., Casini, A.,
A novel approach to the suppression of false contours originated from Laplacian-of-Gaussian zero-crossings,
ICIP96(I: 825-828).
IEEE DOI 9610
BibRef

Sorrenti, D.G.[Domenico G.],
A proposal on local and adaptive determination of filter scale for edge detection,
CIAP95(405-410).
Springer DOI 9509
BibRef

Wang, Y.P.[Yu-Ping], Cai, Y.[Yuanlong],
Construction and properties of B-spline wavelet filters for multiscale edge detection,
ICIP95(II: 145-148).
IEEE DOI 9510
BibRef

Chen, J.G., Ren, X.H., Tian, Q.,
One dimensional multiple scale edge detection,
ICPR92(III:435-438).
IEEE DOI 9208
BibRef

Schunck, B.G.,
Edge Detection with Gaussian Filters at Multiple Scales,
CVWS87(208-210). Yet another paper on the topic. BibRef 8700

Beltran, J.R., Garcia-Lucia, J., Navarro, J.,
Edge detection and classification using Mallat's wavelet,
ICIP94(I: 293-297).
IEEE DOI 9411
BibRef

Caponetti, L., Abbattista, N., Carapella, G.,
A genetic approach to edge detection,
ICIP94(I: 318-322).
IEEE DOI 9411
BibRef

Chou, K.J., and Schunck, B.G.,
A Nonparametric Algorithm for Edge Localization,
CVPR93(795-796).
IEEE DOI BibRef 9300

Geiger, D.[Davi], Poggio, T.[Tomaso],
An Optimal Scale for Edge Detection,
MIT AI Memo-1078, September 1988. BibRef 8809

Beattie, R.J.,
A Semantically-Based Multi-Level Edge Detection System,
ICPR84(653-655). BibRef 8400

Chapter on Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform continues in
Diffusion Applied to Edge Detection .


Last update:Nov 11, 2017 at 13:31:57