Color texture invariants for natural image recognition based on human visual system

Camapum Wanderley, J. F. and Fisher, M. H. (2000) Color texture invariants for natural image recognition based on human visual system. In: The 7th IEEE International Conference on Electronics, Circuits and Systems (ICECS 2000), 2000-12-17 - 2000-12-20.

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Abstract

The main contribution of this work is the proposal of a new set of color texture affine and illumination invariants based on the human visual system (HVS). A description regarding the importance of texture as a feature and a new color texture descriptor for natural image recognition, invariant to illumination and rotation, is introduced. The new feature vector extracted to represent the color texture images is generated by decomposing each of the three color channels of the image into several frequency and orientation bands using a bank of Gabor filters and then extracting several features from each color channel response independently and also from the combination of different color channel responses

Item Type: Conference or Workshop Item (Paper)
Faculty \ School: Faculty of Science > School of Computing Sciences
Related URLs:
Depositing User: Vishal Gautam
Date Deposited: 26 Aug 2011 13:00
Last Modified: 22 Apr 2020 09:23
URI: https://ueaeprints.uea.ac.uk/id/eprint/22332
DOI: 10.1109/ICECS.2000.911540

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