Fuzzy logic supported corner detection

Authors:
Annamária R. Várkonyi-Kóczy
Affiliations:
Dept. of Meas. and Info. Sys., Budapest Univ. of Technol. and Econ., Hungary and Integrated Intell. Sys. Japanese-Hungarian Lab. Magyar Tudósok krt. 2., H-1521 Budapest, Hungary. Tel.: +36146 ...
Venue:
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Soft Computing and Applications
Year:
2008

Citing 3
Cited 3

Image selective smoothing and edge detection by nonlinear diffusion

SIAM Journal on Numerical Analysis
Modeling and rendering architecture from photographs: a hybrid geometry- and image-based approach

SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
SUSAN—A New Approach to Low Level Image Processing

International Journal of Computer Vision

Fuzzy logic supported sketch based image information enhancement

International Journal of Advanced Intelligence Paradigms
A hand gesture controlled interface for intelligent space applications

INES'09 Proceedings of the IEEE 13th international conference on Intelligent Engineering Systems
Soft computing based signal processing approaches for supporting modeling and control of engineering systems: a case study

INES'10 Proceedings of the 14th international conference on Intelligent engineering systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Corner detection plays an important role in computer vision, as well as in 3D reconstruction of a scene. Based on the corners we can determine the most characteristic points of an object and so reconstruct it. Corners are useful in case of pattern recognition, as well. In this paper, a new corner detection technique is introduced which is based on fuzzy reasoning and applies a special local structure matrix. Furthermore, by introducing a new attribute associated to the corners, the method efficiently supports the further processing, e.g. point correspondence matching in stereo images or 3D reconstruction of schemes.