A new approach of color quantization based on ant colony clustering algorithm

Xinrong Hu, Tianzhen Wang, Dehua Li
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引用次数: 8

Abstract

Color quantization is wildly exploited for many applications especially in the fields of computer graphics and image processing. After studying the approaches of color clustering, a new approach based on ant colony clustering algorithm applied in color image quantization is proposed in the paper. According to the picking up-dropping theory, a promoted ant algorithm is applied to group colors into certain clusters in RGB space. It finishes color quantization after colors mapping of every pixel. Our experiment shows that the algorithm proposed in this paper has rather good performance with an excellent robustness, a less time consumption, and a simple realization.
一种基于蚁群聚类算法的颜色量化新方法
颜色量化在计算机图形学和图像处理领域有着广泛的应用。在研究颜色聚类方法的基础上,提出了一种基于蚁群聚类算法的彩色图像量化方法。根据拾取-丢弃理论,采用改进的蚁群算法在RGB空间中对颜色进行聚类。对每个像素进行颜色映射后,完成颜色量化。实验表明,本文提出的算法鲁棒性好、耗时少、实现简单,具有较好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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