Abstract
This paper considers invariant texture analysis. Texture analysis approaches whose performances are not affected by translation, rotation, affine, and perspective transform are addressed. Existing invariant texture analysis algorithms are carefully studied and classified into three categories: statistical methods, model based methods, and structural methods. The importance of invariant texture analysis is presented first. Each approach is reviewed according to its classification, and its merits and drawbacks are outlined. The focus of possible future work is also suggested.
Original language | English |
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Pages (from-to) | 735-747 |
Number of pages | 13 |
Journal | Pattern Recognition |
Volume | 35 (3) |
Issue number | 3 |
DOIs | |
Publication status | Published - Mar 2002 |
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Signal Processing
- Electrical and Electronic Engineering