Sciweavers

Share
ICPR
2000
IEEE

Fractal Transforms and Feature Invariance

8 years 10 months ago
Fractal Transforms and Feature Invariance
In this paper, fractal transforms are employed with the aim of image recognition. It is known that such transforms are highly sensitive to distortions like a small shift of an image. However, by using features based on statistics kept during the actual decomposition we can derive features from fractal transforms which are invariant to perturbations like rotation, translation, folding or contrast scaling. Further, we introduce a feature invariance measure which reveals the degree of invariance of a feature with respect to a database. The features and the way their invariance is measured, appear well-suited for the application to images of textures.
Ben A. M. Schouten, Paul M. de Zeeuw
Added 31 Jul 2010
Updated 31 Jul 2010
Type Conference
Year 2000
Where ICPR
Authors Ben A. M. Schouten, Paul M. de Zeeuw
Comments (0)
books