A simplified and fast version of the Hueckel operator for finding optimal edges in pictures

Authors:
L. Mero;Z. Vassy
Affiliations:
Computer and Automation Institute, Hungarian Academy of Sciences, Budapest, Hungary;Computer and Automation Institute, Hungarian Academy of Sciences, Budapest, Hungary
Venue:
IJCAI'75 Proceedings of the 4th international joint conference on Artificial intelligence - Volume 1
Year:
1975

Citing 5
Cited 2

An Operator Which Locates Edges in Digitized Pictures

Journal of the ACM (JACM)
A Local Visual Operator Which Recognizes Edges and Lines

Journal of the ACM (JACM)
On the optimal detection of curves in noisy pictures

Communications of the ACM
Edge and Curve Detection for Visual Scene Analysis

IEEE Transactions on Computers
Edge and Curve Detection: Further Experiments

IEEE Transactions on Computers

A novel iris segmentation using radial-suppression edge detection

Signal Processing
On edge gradient approximations

Pattern Recognition Letters

Quantified Score

Hi-index	0.00

Visualization

Abstract

A simplified version of the Hueckel operator was worked out to preserve all the advantages of the original one with a running time considerably shorter. Its concept is based on there interpretation of the Hueckel operator as a template matching method. This reinterpretation renders some theoretical and computational simplifications possible. As a result, an optimal edge-shaped template is constructed by linear combination of two suitably chosen original ones. The parameters of this optimal template characterize the edge segment found in a picture area.