*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 AI*Memo 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.

Elsevier DOI

PDF File.
BibRef
**7712**
*USC Computer Vision*The number of terms in expansion determines the accuracy and complexity.
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.

Elsevier DOI The 2X2 version is equivalent to Roberts.
BibRef
**8109**

*Hummel, R.A.[Robert A.]*,

**Feature Detection Using Basis Functions**,

*CGIP(9)*, No. 1, 1979, pp. 40-55.

Elsevier DOI Edge detector akin to Hueckel detector.
Lines and edges.
BibRef
**7900**

*Hartley, R.L.[Ralph L.]*,

**A Gaussian-Weighted Multiresolution Edge Detector**,

*CVGIP(30)*, No. 1, April 1985, pp. 70-83.

Elsevier DOI (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.[Azriel]*,

**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.*,
*Rosenfeld, A.[Azriel]*,

**Some Properties of Hueckel-Type Edge Operators**,

*PRL(1)*, No. 1, 1982, pp. 25-30.
BibRef
**8200**

*Nalwa, V.S.*,
*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

Springer DOI

BibRef

*Huggins, P.S.*,
*Zucker, S.W.*,

**Representing Edge Models via Local Principal Component Analysis**,

*ECCV02*(I: 384 ff.).

Springer DOI
**0205**

BibRef

Chapter on Edge Detection and Analysis, Lines, Segments, Curves, Corners, Hough Transform continues in

Laplacian, Gaussian Filters for Edges and Zero Crossings .

Last update:Jun 17, 2024 at 21:38:11