Image Registration Based on Feature Points Krawtchouk Moments

Abstract:

Article Preview

An image registration based on feature points Krawtchouk moments is proposed. Moments are the shape descriptors based on region. Krawtchouk moments are a set of discrete orthogonal moments and are more suitable for describing two-dimensional images compared to Zemike, Legendre moments. In the image registration based on feature points Krawtchouk moments, Krawtchouk moment invariants of the feature points neighborhood that have been extracted are solved, and then these Krawtchouk moment invariants constitute feature vectors used to describe the feature points, finally feature points are matched by calculating the Euclidean distance of feature vectors. The results of experiments show that Krawtchouk moment is simple and effective to describe image and is independent of rotation, scaling, and translation of the image.

Info:

Periodical:

Edited by:

Zhu Zhilin & Patrick Wang

Pages:

584-589

DOI:

10.4028/www.scientific.net/AMM.40-41.584

Citation:

F. Hui et al., "Image Registration Based on Feature Points Krawtchouk Moments", Applied Mechanics and Materials, Vols. 40-41, pp. 584-589, 2011

Online since:

November 2010

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.