Title :
Extracting symmetry features from color images
Author :
Thai, Bea ; Healey, Glenn
Author_Institution :
Comput. Vision Lab., California Univ., Irvine, CA, USA
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;
Conference_Titel :
Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on
Conference_Location :
San Juan
Print_ISBN :
0-8186-7822-4
DOI :
10.1109/CVPR.1997.609349
