Fast computation of Jacobi-Fourier moments for invariant image recognition

被引：31

作者：

Upneja, Rahul ^{[1
]}

Singh, Chandan ^{[2
]}

机构：

[1] Sri Guru Granth Sahib World Univ, Dept Math, Fatehgarh Sahib 140406, India

[2] Punjabi Univ, Dept Comp Sci, Patiala 147002, Punjab, India

来源：

PATTERN RECOGNITION | 2015年 / 48卷 / 05期

关键词：

Jacobi-Fourier moments; Recursive method; Numerical stability; GENERIC ORTHOGONAL MOMENTS; POLAR HARMONIC TRANSFORMS; ZERNIKE MOMENTS; WATERMARKING;

D O I：

10.1016/j.patcog.2014.11.012

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The Jacobi-Fourier moments (JFMs) provide a wide class of orthogonal rotation invariant moments (ORIMs) which are useful for many image processing, pattern recognition and computer vision applications. They, however, suffer from high time complexity and numerical instability at high orders of moment. In this paper, a fast method based on the recursive computation of radial kernel function of JFMs is proposed which not only reduces time complexity but also improves their numerical stability. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：1836 / 1843

页数：8

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