文章基本信息

标题：Reconstructing an image by blocks with Legendre Moments
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作者：Sanaa El Mrini ; Mohammed Hamri
期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2011
卷号：11
期号：8
页码：119-122
出版社：International Journal of Computer Science and Network Security
摘要：Moment functions are widely use in image analysis as feature descriptors for pattern recognition. In this work, we propose a method to recognition problem using Legendre moments. The proposed approach is based on the decomposition of the original image into block images. The optimal number of moment used to represent original image is deduced from the measure of the error between the original image and its reconstructed. Servo image is used to demonstrate the performance of the proposed method.
关键词：Orthogonal Legendre moments; Zernike Moments; Moment Invariants