A Method to Derive Moment Invariants

摘要：

Functions of Moments that are invariant under geometric transformations are useful for image analysis and pattern recognition. The basic model of computer vision is projective transformation. Yet it is known that moment invariants for general projective transformations do not exist. This paper presents a novel method to derive moment invariants under restricted projective transformations. The form of the moment invariants is in a ratio of two determinants of moments. We first derive the relative moment invariants relating moments of the transformed image and moments of the original image. Then the absolute moment invariant is obtained by cancellation of the factors. The method is straightforward and extendible.

关键词： component pattern recognition moments projective transformations invariants

作者: WANG Yuanbin ZHANG Bin YAO Tianshtm

作者单位: Institute of Computer Application Technology Northeastern University Shenyang,China

会议类型: 国际会议

会议名称: 2009 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2009)(2009年检测技术与机械自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 957-960

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）