Title :
Representing multiscale N-folded symmetry in color texture
Author :
Thai, Bea ; Healey, Glenn
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Irvine, CA, USA
Abstract :
A new class of multiscale symmetry features provides a useful high level representation for color texture. These symmetry features 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, wee 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 texture classification and retrieval
Keywords :
band-pass filters; feature extraction; filtering theory; image classification; image colour analysis; image representation; image texture; visual databases; color bands; color texture; complex moments; experimental results; filter bank; high level representation; illumination invariant features; image database; multiscale N-folded symmetry; multiscale symmetry features; orientation selective filters; performance; rotation invariant features; scale invariant features; scale selective filters; texture classification; texture retrieval; Computer vision; Filters; Frequency domain analysis; Image databases; Image retrieval; Information retrieval; Laboratories; Lighting; World Wide Web; Yield estimation;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.648086
