Hueckel, M.,
An Operator which Locates Edges in Digitized Pictures,
JACM(18), No. 1, January 1971, pp. 113-125.
BibRef
7101
CMetImAly77(191-203).
BibRef
Earlier:
Stanford AIMemo 105, 1969.
The first of the papers, locates edges. The basic idea is to generate a set
of basis functions and find the optimal fit of a step edge using these
functions.
Compared in:
See also Edge Location to Subpixel Values in Digital Imagery.
BibRef
Hueckel, M.,
A Local Visual Operator Which Recognizes Edges and Lines,
JACM(20), No. 4, October 1973, pp. 634-647.
BibRef
7310
And:
Erratum:
JACM(21), No. 2, April 1974, pp. 350.
Edges, History. The
second paper extended the concept to both ideal step edges and ideal lines.
BibRef
Nevatia, R.,
Evaluation of a Simplified Hueckel Edge-Line Detector,
CGIP(6), No. 6, December 1977, pp. 582-588.
WWW Version.
PDF Version.
BibRef
7712
USC Computer Vision
BibRef
Nevatia, R.,
Locating Object Boundaries in Textured Environments,
TC(25), 1976, pp. 1170-1175.
BibRef
7600
Abramatic, J.F.,
Why the Simplest 'Hueckel' Edge Detector is a Roberts Operator,
CGIP(17), No. 1, September 1981, pp. 79-83.
WWW Version.
BibRef
8109
Hummel, R.A.,
Feature Detection Using Basis Functions,
CGIP(9), No. 1, 1979, pp. 40-55.
WWW Version.
Edge detector akin to Hueckel detector.
Lines and edges.
BibRef
7900
Hartley, R.L.,
A Gaussian-Weighted Multiresolution Edge Detector,
CVGIP(30), No. 1, April 1985, pp. 70-83.
WWW Version. (U Maryland) A
Hueckel-like detector which uses gaussian weighted images at
different resolutions. The results look a lot like the original
Hueckel results, thus are not really great.
BibRef
8504
Rosenfeld, A.,
The Max Roberts Operator Is a Hueckel-Type Edge Detector,
PAMI(3), No. 1, January 1981, pp. 101-103.
See also Machine Perception of 3-D Solids. and
See also Operator which Locates Edges in Digitized Pictures, An.
BibRef
8101
Boppana, R.B., and
Rosenfeld, A.,
Some Properties of Hueckel-Type Edge Operators,
PRL(1), No. 1, 1982, pp. 25-30.
BibRef
8200
Nalwa, V.S., and
Binford, T.O.,
On Detecting Edges,
PAMI(8), No. 6, November 1986, pp. 699-714.
BibRef
8611
Earlier:
DARPA85(450-465).
BibRef
Earlier: A1 only:
DARPA84(157-164).
What is wrong with most edge models and how to fix them.
Edges are modeled with the tanh function.
Model fitting based edge detector.
With humans in:
See also Robust Visual Method for Assessing the Relative Performance of Edge Detection Algorithms, A.
BibRef
Mero, L.,
Vassy, Z.,
A Simplified and Fast Version of the Hueckel Operator for Finding Optimal
Edges in Pictures,
IJCAI75(650-655).
BibRef
7500
Bhattacharyya, P.,
Ganesan, L.,
An Orthogonal Polynomials Based Framework for Edge-Detection
in 2-D Monochrome Images,
PRL(18), No. 4, April 1997, pp. 319-333.
9708
BibRef
Huggins, P.S.,
Zucker, S.W.,
Representing Edge Models via Local Principal Component Analysis,
ECCV02(I: 384 ff.).
HTML Version.
0205
BibRef
Chapter on Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform continues in
Laplacian, Gaussian Filters for Edges and Zero Crossings .