EFLAM: A MODEL TO LEVEL-LINE JUNCTION EXTRACTION

N. Suvonvorn, B. Y. Zavidovique

2006

Abstract

This paper describes an efficient approach for the detection of level-line junctions in images. Potential junctions are exhibited independent from noise by their consistent local level-variation. Then, level-lines are tracked through junctions in descending the level-line flow. Flow junctions are extracted as image primitives to support matching in many applications. The primitive is robust against contrast changes and noise. It is easily made rotation invariant. As far as the image content allows, the spread of junctions can be controlled for even spatial distribution. We show some results and compare with the Harris detector.

Paper Citation

in Harvard Style

Suvonvorn N. and Y. Zavidovique B. (2006). EFLAM: A MODEL TO LEVEL-LINE JUNCTION EXTRACTION . In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, ISBN 972-8865-40-6, pages 257-264. DOI: 10.5220/0001364802570264

in Bibtex Style

@conference{visapp06,
author={N. Suvonvorn and B. Y. Zavidovique},
title={EFLAM: A MODEL TO LEVEL-LINE JUNCTION EXTRACTION},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,},
year={2006},
pages={257-264},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001364802570264},
isbn={972-8865-40-6},
}

in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,
TI - EFLAM: A MODEL TO LEVEL-LINE JUNCTION EXTRACTION
SN - 972-8865-40-6
AU - Suvonvorn N.
AU - Y. Zavidovique B.
PY - 2006
SP - 257
EP - 264
DO - 10.5220/0001364802570264