Share Email Print
cover

Proceedings Paper

Coherency estimation based on spectrum Gaussian-Hermite moments
Author(s): Gengxiang Li; Bo Yang; Mo Dai
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

The process of identifying regions with similar texture and separating regions with different texture is an essential step towards identifying surfaces and objects in the image. This paper describes a method of processing discontinuities of the gray level image. Moments are widely used in image analysis and pattern recognition. The Gaussian-Hermite moments, as one kind of orthogonal moments, are proposed to estimate coherency of the image in this paper. The local image is firstly converted into frequency domain from spatial domain, and then coherency is measured by matrix constructed of Gaussian-Hermite moments of energy within frequency domain. Compared to other methods, such as coherency estimation based on geometric moments, cross correlation, eigenstructure, semblance, or gradient vector field, the experimental results show a good performance in feature representation, regions recognition and regions.

Paper Details

Date Published: 20 August 2010
PDF: 7 pages
Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78202S (20 August 2010); doi: 10.1117/12.867078
Show Author Affiliations
Gengxiang Li, Univ. Michel de Montaigne Bordeaux 3 (France)
Bo Yang, Univ. Michel de Montaigne Bordeaux 3 (France)
Mo Dai, Univ. Michel de Montaigne Bordeaux 3 (France)


Published in SPIE Proceedings Vol. 7820:
International Conference on Image Processing and Pattern Recognition in Industrial Engineering

© SPIE. Terms of Use
Back to Top