Using Gabor filter for the illumination invariant recognition of color texture

Mohammed Al-Rawi and Jie Yang

Mathematics and Computers in Simulation (MATCOM), 2008, vol. 77, issue 5, 550-555

Abstract: We derive Gabor feature matrices that are used to recognize color texture independent of illumination changes. The feature depends on Gabor energy feature in which we derive a multi-band Gabor energy feature matrix. We also prove that two Gabor energy feature matrices such that represent two corresponding textures under different illumination are related by a linear transform. Experimental results show that the model is successful in recognizing color texture independent of the change in the spectral illuminations.

Keywords: Color texture; Recognition; Gabor filter; Illumination invariant (search for similar items in EconPapers)
Date: 2008
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378475407003618
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:77:y:2008:i:5:p:550-555

DOI: 10.1016/j.matcom.2007.11.016

Access Statistics for this article

Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens

More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier
Bibliographic data for series maintained by Catherine Liu ().