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

Author

Wanderley, Juliana F Camapum ; Fisher, Mark H.

Author_Institution

Dept. of Electr. Eng., UnB, Brasilia, Brazil

Volume

1

fYear

2000

fDate

2000

Firstpage

295

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

Keywords

feature extraction; filtering theory; image colour analysis; image recognition; image texture; Gabor filters; color illumination invariants; color texture affine invariants; color texture descriptor; colour channel response; colour texture invariants; feature vector extraction; human visual system; natural image recognition; rotation invariance; Feature extraction; Frequency; Gabor filters; Humans; Image analysis; Image generation; Image recognition; Image texture analysis; Lighting; Visual system;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Circuits and Systems, 2000. ICECS 2000. The 7th IEEE International Conference on

Conference_Location

Jounieh

Print_ISBN

0-7803-6542-9

Type

conf

DOI

10.1109/ICECS.2000.911540

Filename

911540