Abstract
The use of multiscale directional decomposition achieved by combining Laplacian pyramid and directional filter bank is studied in this paper for texture classification. We first demonstrated the importance of multiscale analysis of directional texture features. Then, it is found that directional analysis is suitable for characterizing structured textures, but not random textures. Thus, structured and random textures are separated by employing an entropy-based measure on the multiscale directional features. Through this pre-filtering step, structured textures are extracted for further classification so that the overall retrieval performance can be enhanced. Experimental results showed that this pre-filtering step can significantly improve the overall retrieval accuracy.
Original language | English |
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Title of host publication | 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004 |
Pages | 707-710 |
Number of pages | 4 |
Publication status | Published - 1 Dec 2004 |
Event | 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004 - Hong Kong, China, Hong Kong Duration: 20 Oct 2004 → 22 Oct 2004 |
Conference
Conference | 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004 |
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Country/Territory | Hong Kong |
City | Hong Kong, China |
Period | 20/10/04 → 22/10/04 |
ASJC Scopus subject areas
- General Engineering