Document Type

Conference Proceeding

Publisher

IEEE

Faculty

Computing, Health and Science

School

School of Computer & Security Science

RAS ID

10334

Comments

This article was originally published as: Huang, Z. , & Leng, J. (2010). Analysis of Hu’s Moment Invariants on Image Scaling and Rotation. Proceedings of 2010 2nd International Conference on Computer Engineering and Technology (ICCET). (pp. 476-480). . Chengdu, China. IEEE. Original article available here

© 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Abstract

Moment invariants have been widely applied to image pattern recognition in a variety of applications due to its invariant features on image translation, scaling and rotation. The moments are strictly invariant for the continuous function. However, in practical applications images are discrete. Consequently, the moment invariants may change over image geometric transformation. To address this research problem, an analysis with respect to the variation of moment invariants on image geometric transformation is presented, so as to analyze the effect of image's scaling and rotation. Finally, the guidance is also provided for minimizing the fluctuation of moment invariants.

DOI

10.1109/ICCET.2010.5485542

Access Rights

free_to_read

 
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Link to publisher version (DOI)

10.1109/ICCET.2010.5485542