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Multiscale edge detection using first order R-filter,
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How the Spatial Filters of Area V1 Can Be Used for a Nearly Ideal Edge
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Applying Non-stationary Noise Estimation to Achieve Contrast Invariant
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Binder, T.,
Sussner, M.,
How to recover smooth object boundaries in noisy medical images,
ICIP96(I: 331-334).
IEEE DOI Link
9610
BibRef
Belkacem-Boussaid, K.,
Beghdadi, A.,
Depoisot, H.,
Edge detection using Holladay's principle,
ICIP96(I: 833-836).
IEEE DOI Link
9610
BibRef
Das, M.,
Anand, J.,
Robust edge detection in noisy images using an adaptive stochastic
gradient technique,
ICIP95(II: 149-152).
IEEE DOI Link
9510
BibRef
Rothwell, C.A.,
Mundy, J.L.,
Hoffman, W.,
Nguyen, V.D.,
Driving Vision by Topology,
SCV95(395-400)
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 Link
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 Link
9510
BibRef
Sun, M.,
Sclabassi, R.J.,
Symmetric wavelet edge detector of the minimum length,
ICIP95(II: 177-180).
IEEE DOI Link
9510
BibRef
Restrepo, A.,
Hincapie, G.,
Parra, A.,
On the detection of edges using order statistic filters,
ICIP94(I: 308-312).
IEEE DOI Link
9411
BibRef
Wojcik, Z.M.,
Application of rough sets for edge enhancing image filters,
ICIP94(II: 525-529).
IEEE DOI Link
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., and
Wallach, D.A.,
Line Recognition,
ICPR90(I: 639-645).
IEEE DOI Link 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., and
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., and
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 Link
BibRef
9200
Hedengren, K.H.,
Edge enhancement with image algebra,
ICPR92(III:390-393).
IEEE DOI Link
9208
BibRef
Hedengren, K.H.,
Decomposition of Edge Operators,
ICPR88(II: 963-965).
IEEE DOI Link
IEEE Top Reference.
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 Abstract. IEEE Top Reference.
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 Link
9208
BibRef
Boult, T.E.,
Wolff, L.B.,
Physically-based edge labeling,
CVPR91(656-662).
IEEE Abstract. IEEE Top Reference.
0403
BibRef
Chapter on Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform continues in
Basic Edges, General Discussion, Analysis .