Abstract
This paper presents a set of simple Slit kernel suitable for regular and rotation-invariant texture analysis. The fast algorithm used to compute its feature is also presented. Ex- tracting Slit features requires 11 to 17% of arithmetic operations when compared to that for Gabor features. Experimental results for the classification of rotated texture images indicate that Slit kernels perform as well as, or sometimes better than, Gabor ones. This makes Slit suitable for applications where computational speed is important.
Original language | English |
---|---|
Title of host publication | ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings |
Pages | 199-204 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 1 Dec 2009 |
Event | 2009 IEEE International Conference on Signal and Image Processing Applications, ICSIPA09 - Kuala Lumpur, Malaysia Duration: 18 Nov 2009 → 19 Nov 2009 |
Conference
Conference | 2009 IEEE International Conference on Signal and Image Processing Applications, ICSIPA09 |
---|---|
Country/Territory | Malaysia |
City | Kuala Lumpur |
Period | 18/11/09 → 19/11/09 |
Keywords
- Feature extraction
- Gabor filters
- Image processing
- Invariance
- Objection recognition
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Signal Processing