使用阿基米德螺旋的改进的GRAS算法

Y. Zhao, M. Haseyama, H. Kitajima
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引用次数: 1

摘要

本文提出了一种改进方法来解决GRAS在物体识别中的一个问题:当物体被旋转时,这种变化在大多数情况下可能无法被GRAS所接受。该算法通过搜索给定物体的形状,利用阿基米德螺旋来定义节点,并将节点转化为有向图。然后,定义一些相互关联的图形特征,以便与其他对象进行比较。实验结果比较了GRAS算法和本文算法的识别精度,给出了本文算法的性能
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An improved GRAS algorithm using Archimedes's spiral
In this paper an improvement is proposed to solve a problem in the object recognition using GRAS: when an object is rotated, the change may not be acceptable by GRAS in most cases. The proposed algorithm searches the shape of a given object to define some nodes by Archimedes's spiral, and transforms the nodes into a directed graph. Then, it defines some interrelated graph characteristics to compare the given object with others. The performance of the proposed algorithm is presented via experimental results which compare the recognition accuracy of GRAS and proposed algorithm
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