文献类型：期刊文献

英文题名：Image analysis using separable two-dimensional discrete orthogonal moments

作者：Zhu, Hongqing[1]

机构：[1] Department of Electronics and Communications Engineering, East China University of Science and Technology, Shanghai 200237, China

年份：2011

起止页码：817

外文期刊名：Proceedings - International Conference on Image Processing, ICIP

收录：EI(收录号：20120514730665)

语种：英文

外文关键词：Difference equations - Orthogonal functions

摘要：This paper presents three new separable 2-D discrete orthogonal moments. The kernel functions of the proposed Meixner-Krawtchouk moments (MKM), Tchebichef-Charlier moments (TCM), and Meixner-Hahn moments (MHM) are mutually orthogonal and separable. Unlike the traditional 2-D discrete orthogonal moments, in the proposed separable 2-D discrete orthogonal moments, the kernel functions can be expressed as two separable terms by producing two different classical orthogonal polynomials of a variable. Specifically, the tense product of Meixner and Krawtchouk polynomials can be used to generate kernel functions for 2-D discrete orthogonal MKM. The global extraction capabilities of proposed moments are described by analyzing the reconstructed image's accuracy. The experimental results show that these proposed moments have better image description capabilities. ? 2011 IEEE.