基于蚁群算法的图像匹配

2009 Chinese Control and Decision Conference Pub Date : 2009-06-17 DOI:10.1109/CCDC.2009.5191495

Hongyan Shi, Zhaoyu Bei

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引用次数: 0

摘要

蚁群算法是一种具有模糊聚类能力的离散、并行、鲁棒的进化算法。从模糊聚类的角度将蚁群算法引入到图像匹配中。综合考虑像素的灰度值、感激度和邻域。在计算机上的试验表明，该方法是一种新的算法。

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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Image matching based on ant colony algorithm

Ant colony algorithm(ACA)is a kind of discrete, parallel and robust evolutionary algorithm with fuzzy clustering ability. ACA has been introduced into image matching from the aspect of fuzzy clustering. The gray value, gratitude and neighbourhood of pixels are considered synthetically. This method is shown as a new algorithm by the test on computer.

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2009 Chinese Control and Decision Conference

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