MULTI-RESOLUTIONAL GABOR FILTER IN TEXTURE ANALYSIS

Authors
Citation
Cc. Chen et Dc. Chen, MULTI-RESOLUTIONAL GABOR FILTER IN TEXTURE ANALYSIS, Pattern recognition letters, 17(10), 1996, pp. 1069-1076
Citations number
18
Categorie Soggetti
Computer Sciences, Special Topics","Computer Science Artificial Intelligence
Journal title
ISSN journal
01678655
Volume
17
Issue
10
Year of publication
1996
Pages
1069 - 1076
Database
ISI
SICI code
0167-8655(1996)17:10<1069:MGFITA>2.0.ZU;2-M
Abstract
The gabor filter approach is recently used in texture analysis. Among the existing applications, people convolve the given texture image wit h a set of gabor filters with some user-specified parameters. The conv olution takes a lot of time because of the large image size and the co mputational complexity. This paper utilizes the concept of multi-resol ution with parameter selection to do texture analysis. The computation time can be significantly reduced by diminishing the image size accor ding to several different sets of parameters. Experiments demonstrate that our strategy is quite efficient compared with the traditional gab or filter.