Title :
Some Aspects of Gaussian-Hermite Moments in Image Analysis
Author :
Wang, Lin ; Wu, Youfu ; Dai, Mo
Author_Institution :
Guizhou Univ. for Nationalities, Guiyang
Abstract :
The normalized orthogonal (orthonormal) Hermite moments, or Gaussian-Hermite moments, have a good performance to recover the original image, although with a limited number of moments. Hence, Gaussian-Hermite moments can be used to characterize images patterns due to its good properties. The paper also compares the noise sensibility between Gaussian-Hermite moments and geometric ones and gives experimental results in some applications. It is shown that Gaussian-Hermite moments are effective tools for image analysis.
Keywords :
Gaussian processes; geometry; image processing; Gaussian-Hermite moments; geometric ones; image analysis; images patterns; noise sensibility; normalized orthogonal Hermite moments; Gaussian approximation; Gaussian noise; Gaussian processes; Image analysis; Image reconstruction; Pattern recognition; Polynomials;
Conference_Titel :
Natural Computation, 2007. ICNC 2007. Third International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2875-5
DOI :
10.1109/ICNC.2007.676
