DocumentCode
2531432
Title
Extracting symmetry features from color images
Author
Thai, Bea ; Healey, Glenn
Author_Institution
Comput. Vision Lab., California Univ., Irvine, CA, USA
fYear
1997
fDate
17-19 Jun 1997
Firstpage
356
Lastpage
361
Abstract
We develop methods to extract semantically meaningful symmetries from color images. These symmetries are defined within and between color bands using complex moments computed from the output of a bank of orientation and scale selective filters. From this representation, we derive a set of features which are invariant to rotation, scale, and illumination conditions. Experimental results are provided to show the performance of this set of features for classification and image database partitioning
Keywords
feature extraction; image classification; visual databases; color images; complex moments; illumination conditions; image classification; image database partitioning; rotation; scale; scale selective filters; semantically meaningful symmetries; symmetry features extraction; Color; Computer vision; Feature extraction; Filters; Frequency domain analysis; Image databases; Image retrieval; Information retrieval; Laboratories; Lighting;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on
Conference_Location
San Juan
ISSN
1063-6919
Print_ISBN
0-8186-7822-4
Type
conf
DOI
10.1109/CVPR.1997.609349
Filename
609349
Link To Document