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ICIP
2001
IEEE

Extraction of rotation invariant signature based on fractal geometry

12 years 1 months ago
Extraction of rotation invariant signature based on fractal geometry
In this paper, a new method of feature extraction with rotation invariant property is presented. One of the main contributions of this study is that a rotation invariant signature of 2-D contours is selected based on the fractal theory is proposed. The rotation invariant signature is a measure of the fractal dimensions, which is rotation invariant based on a series of central projection transform (CPT) groups. As the CPT is applied to a 2-D object, a unique contour is obtained. In the unfolding processing, this contour is further spread into a central projection unfolded curve, which can be viewed as a periodic function due to the different orientations of the pattern. We consider the unfolded curves to be non-empty and bounded sets in IRn, and the central projection unfolded curves with respect to the box computing dimension are rotation invariant. Some experiments with positive results are conducted. This approach is applicable to a wide range of areas such as image analysis, patter...
Yu Tao, Thomas R. Ioerger, Yuan Yan Tang
Added 25 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2001
Where ICIP
Authors Yu Tao, Thomas R. Ioerger, Yuan Yan Tang
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