Logan, Jr., B.F.,
Information in the Zero Crossings of Bandpass Signals,
Bell System Tech.(56), No. 4, April 1977, pp. 487-510.
BibRef
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Marr, D.,
Hildreth, E.C.,
Theory of Edge Detection,
RoyalP(B-207), 1980, pp. 187-217.
BibRef
8000
And:
MIT AI Memo-518, April 1979.
Edges, History.
The zero crossing Gaussian filter edge detector paper.
BibRef
Hildreth, E.C.[Ellen C.],
The Detection of Intensity Changes by Computer and
Biological Vision Systems,
CVGIP(22), No. 1, April 1983, pp. 1-27.
Elsevier DOI The Marr Hildreth operator implementation and some examples.
Compared in:
See also Some Defects in Finite-Difference Edge Finders. and
Compared in:
See also Edge Detection and Linear Feature Extraction Using a 2-D Random Field Model.
BibRef
8304
Hildreth, E.C.[Ellen C.],
Implementation of a Theory of Edge Detection,
MIT AI-TR-579, April 1980.
WWW Link.
BibRef
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Hildreth, E.C.[Ellen C.],
Edge Detection,
MIT AI Memo-858, September 1985.
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Alparslan, E.,
Component-Wise Edge Detection by Laplacian Operator Masks,
SP(2), 1980, pp. 179-183.
BibRef
8000
Woods, R.E.,
Gonzalez, R.C.,
Sampling Considerations for Multilevel Crossing Analysis,
PAMI(4), No. 2, March 1982, pp. 117-123.
BibRef
8203
Lunscher, W.H.H.J.[Wolfram H.H.J.], and
Beddoes, M.P.[Michael P.],
Optimal Edge Detector Design I: Parameter Selection and Noise Effects,
PAMI(8), No. 2, March 1986, pp. 164-177.
BibRef
8603
Optimal Edge Detector Design II: Coefficient Quantization,
PAMI(8), No. 2, March 1986, pp. 178-187.
BibRef
And:
Optimal Edge Detector Evaluation,
SMC(16), 1986, pp. 304-312.
Repeat of much of the prior discussion of Gaussian edge detection
(what kind of optimality is there) with more analysis. A
paper study, with synthetic data but does it help?
BibRef
Chen, J.S.,
Huertas, A.,
Medioni, G.G.,
Fast Convolution with Laplacian-of-Gaussian Masks,
PAMI(9), No. 4, July 1987, pp. 584-590.
BibRef
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USC Computer Vision
BibRef
Earlier:
Very Fast Convolution with Laplacian-of-Gaussian Masks,
CVPR86(293-298).
See also the comments and reply given below (Sotak).
Study the properties of the filter and it can be very fast -
reduced image size is a major part.
BibRef
Chen, J.S.,
Accurate Edge Detection for Multiple Scale Processing,
Ph.D.Thesis (EE), October 1989.
BibRef
8910
USC_IRISTR-256.
Scale Space.
Adaptive Smoothing. Thesis of his edge and adaptive smoothing work.
BibRef
Sotak, Jr., G.E.,
Boyer, K.L.,
Comments on 'Fast Convolution with Laplacian-of-Gaussian Masks,
PAMI(11), No. 12, December 1989, pp. 1329-1332.
IEEE DOI
BibRef
8912
And:
Authors' Reply,
PAMI(11), No. 12, December 1989, pp. 1332.
BibRef
Sotak, Jr., G.E.,
Boyer, K.L.,
The Laplacian-of-Gaussian Kernal: A Formal Analysis and Design for
Fast Accurate Convolution and Full Frame Operation,
CVGIP(48), No. 2, November 1989, pp. 147-189.
Elsevier DOI
BibRef
8911
Grimson, W.E.L.,
Hildreth, E.C.,
Comments On 'Digital Step Edges from Zero Crossings of
Second Directional Derivatives',
PAMI(7), No. 1, January 1985, pp. 121-127.
See also Digital Step Edges from Zero-Crossings of Second Directional Derivatives.
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8501
Grimson, W.E.L.,
To have your edge and fill-in too: A commentary,
BBS(6), No. 4, 1983, pp. 666-667.
BibRef
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van Vliet, L.J.[Lucas J.],
Young, I.T.[Ian T.],
Beckers, G.L.[Guus L.],
A Nonlinear Laplace Operator As Edge Detector In Noisy Images,
CVGIP(45), No. 2, February 1989, pp. 167-195.
Elsevier DOI
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8902
Clark, J.J.,
Authenticating Edges Produced by Zero-Crossing Algorithms,
PAMI(11), No. 1, January 1989, pp. 43-57.
IEEE DOI Analysis of
See also Theory of Edge Detection. to improve detection.
See correction in next entry.
BibRef
8901
Piech, M.A.,
Decomposing the Laplacian,
PAMI(12), No. 8, August 1990, pp. 830-831.
IEEE DOI Correction to the Clark paper above.
BibRef
9008
Chen, M.H.,
Lee, D.,
Pavlidis, T.[Theo],
Residual Analysis for Feature Detection,
PAMI(13), No. 1, January 1991, pp. 30-40.
IEEE DOI
BibRef
9101
Basu, M.[Mitra],
Gaussian Derivative Model For Edge Enhancement,
PR(27), No. 11, November 1994, pp. 1451-1461.
Elsevier DOI
BibRef
9411
Lee, D.,
Wasilkowski, G.W.,
Mehrotra, R.,
An Optimal Zero-Crossing-Based Discontinuity Detector,
IP(2), No. 2, 1993, pp. 265-268.
IEEE Top Reference.
See also Computational Approach to Zero-Crossing-Based Two-Dimensional Edge-Detection.
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Mehrotra, R.,
Zhan, S.M.,
Computational Approach to Zero-Crossing-Based Two-Dimensional
Edge-Detection,
GMIP(58), No. 1, January 1996, pp. 1-17.
See also Zero-Crossing-Based Optimal 3-Dimensional Edge Detector, A.
BibRef
9601
Lee, D.,
Wasilkowski, G.W.,
Mehrotra, R.,
A New Zero-Crossing-Based Discontinuity Detector,
IP(2), No. 2, April 1993, pp. 265-268.
IEEE DOI
BibRef
9304
Zhan, S.M.,
Mehrotra, R.,
A Zero-Crossing-Based Optimal 3-Dimensional Edge Detector,
CVGIP(59), No. 2, March 1994, pp. 242-253.
DOI Link
See also Computational Approach to Zero-Crossing-Based Two-Dimensional Edge-Detection.
BibRef
9403
Koplowitz, J.,
Greco, V.,
On the Edge Location Error for Local Maximum and Zero-Crossing
Edge Detectors,
PAMI(16), No. 12, December 1994, pp. 1207-1212.
IEEE DOI
BibRef
9412
Qian, R.J.[Richard J.],
Huang, T.S.[Thomas S.],
Optimal Edge Detection in Images,
AIU96(94-112).
BibRef
9600
And:
Optimal Edge-Detection in Two-Dimensional Images,
IP(5), No. 7, July 1996, pp. 1215-1220.
IEEE DOI
9607
BibRef
Earlier:
ARPA94(II:1581-1588).
BibRef
And:
A Two-Dimensional Edge Detection Scheme for General Visual Processing,
ICPR94(A:595-598).
IEEE DOI
BibRef
Lei, G.[Guo],
Level Crossing Curvature and the Laplacian,
IVC(6), No. 3, August 1988, pp. 185-188.
Elsevier DOI
BibRef
8808
Tamura, S.[Shinichi],
Okamoto, Y.[Yasukazu],
Yanashima, K.[Kenji],
Zero-Crossing Interval Correction in Tracing Eye-Fundus Blood Vessels,
PR(21), No. 3, 1988, pp. 227-233.
Elsevier DOI
BibRef
8800
Lewis, A.[Aaron],
Albeck, Y.[Yehuda],
Lange, Z.[Zvi],
Benchowski, J.[Julia],
Weizman, G.[Gavril],
Optical Computation with Negative Light Intensity
with a Plastic Bacteriorhodopsin Film,
Science(275), No. 5305, 7 March 1997, pp. 1462-1464.
An application of optical computing representing nevative values to compute
a difference of Gaussian edge detector.
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Hashimoto, M.[Manabu],
Sumi, K.[Kazuhiko],
Image processing device for processing grey level images,
US_Patent5,625,717, Apr 29, 1997
WWW Link.
BibRef
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Kennedy, L.M.,
Basu, M.,
Gaussian Derivative Operator for Authentic Edge Detection and Accurate
Edge Localization,
PRAI(13), No. 3, May 1999, pp. 367.
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Kimmel, R.,
Bruckstein, A.M.,
Regularized Laplacian Zero Crossings as Optimal Edge Integrators,
IJCV(53), No. 3, July-August 2003, pp. 225-243.
DOI Link
0304
BibRef
Tabbone, S.A.,
Alonso, L.,
Ziou, D.,
Behavior of the Laplacian of Gaussian Extrema,
JMIV(23), No. 1, July 2005, pp. 107-128.
Springer DOI
0505
BibRef
Tabbone, S.A.,
Ziou, D.,
Subpixel Positioning of Edges for First and Second Order Operators,
ICPR92(III:655-658).
IEEE DOI
BibRef
9200
Tabbone, S.A.,
Ziou, D.,
On the Behavior of the Laplacian of Gaussian for Junction Models,
2nd Annual Joint Conference on
Information SciencesNorth Carolina, 1995. pp. 304-307.
Corner Detection
BibRef
9500
Tabbone, S.A.[Salvatore A.],
Cooperation between edges and junctions for edge grouping,
ICIP94(I: 954-957).
IEEE DOI
9411
BibRef
Tabbone, S.A.,
Detecting Junctions Using Properties of the
Laplacian of Gaussian Detector,
ICPR94(A:52-56).
IEEE DOI
BibRef
9400
Wang, X.[Xin],
Laplacian Operator-Based Edge Detectors,
PAMI(29), No. 5, May 2007, pp. 886-890.
IEEE DOI
0704
deal with noise sensitivity of Laplacian operators.
BibRef
Li, S.G.[Shi-Gang],
Funaki, H.[Hiroya],
Discrete Spherical Laplacian Operator,
IEICE(E99-D), No. 6, June 2016, pp. 1716-1719.
WWW Link.
1606
BibRef
Pap, L.[Laurence],
Zou, J.J.[Ju Jia],
Sub-pixel edge detection for photogrammetry using Laplace difference of
Gaussian and 4th order ENO interpolation,
ICIP10(2841-2844).
IEEE DOI
1009
BibRef
van Vliet, L.J.[Lucas J.],
Young, I.[Ian],
Verbeek, P.W.[Piet W.],
Recursive Gaussian Derivative Filters,
ICPR98(Vol I: 509-514).
IEEE DOI
9808
BibRef
Xu, Z.,
A Further Study on Error Probabilities of Laplacian-Gaussian
Edge Detection,
ICPR86(601-603).
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8600
Eklundh, J.O.,
Elfving, T.,
Nyberg, S.,
Edge Detection using the Marr-Hildrith Operator with Different Sizes,
ICPR82(1109-1112).
BibRef
8200
Chapter on Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform continues in
Gaussian Filters, General .