Partial Shape Recognition using Fourier-Mellin Transform Methods

T. A. Grogan, O. Mitchell
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Abstract

In recognizing shapes automatically by computer, a problem often arises when the unknown object is partially obscured or poorly segmented. Most algorithms described in the literature use syntactic methods. A major problem is describing a proper grammar for several objects. This problem is even further complicated when each object may be imaged from many possible aspect angles. The algorithm in this paper avoids this problem. It uses a global method to normalize scale and starting point, even when part of the contour is missing or incorrect.
基于Fourier-Mellin变换方法的部分形状识别
在计算机形状自动识别中,未知物体被部分遮挡或分割不良往往是一个问题。文献中描述的大多数算法都使用句法方法。一个主要问题是为几个对象描述适当的语法。当每个物体可以从许多可能的角度成像时,这个问题就更加复杂了。本文的算法避免了这一问题。它使用一种全局方法来规范化尺度和起点,即使部分轮廓缺失或不正确。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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