利用纵横比归一化提高矩量分类方法的分类精度

[1988] Proceedings. The Twentieth Southeastern Symposium on System Theory Pub Date : 1988-03-20 DOI:10.1109/SSST.1988.17072

A. Rostampour

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摘要

矩量方法已被用于多种形式的形状识别。由于矩的动态范围，高阶矩元在分类过程中贡献不大，有时还会降低分类精度。讨论了一种提高分类精度的归一化方法——纵横比归一化。将该过程应用于一组数据以演示其性能

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Improving the classification accuracy of the method of the moments using aspect ratio normalization

The method of moments has been used in several forms for shape recognition. Due to the dynamic range of the moments, high-order moment elements do not contribute significantly in the classification process and in some cases they reduce the classification accuracy. A normalization procedure, called aspect ratio normalization, which improves the classification accuracy, is discussed. The procedure is applied to a set of data to demonstrate its performance.<>

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[1988] Proceedings. The Twentieth Southeastern Symposium on System Theory

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