中文摘要：

针对二维Tsallis熵阈值分割法中参数q的选取问题,提出一种粒子群优化算法自适应选取参数q的方法.该方法基于一种图像分割质量评价指标—均匀性测度,利用粒子群优化算法对参数q在参数空间进行优化搜索,从而实现了二维Tsallis熵阈值分割法的自动阈值选取.实验表明,所提出的方法可以根据具体的图像有效地选取参数q,获得理想的图像分割结果.

英文摘要：

In order to select the proper parameter q in two-dimension Tsallis＇s entropy for image thresholding segmentation,a self-adaptive paramerter selection method based on particle swarm optimization was proposed.The presented method was based on uniformity measure—an image segmentation valuation criteria—and utilized particle swarm optimization algorithm to search for the optimal parameter in parameter space.It realized the aim of automatic selection for the threshold with two-dimensional Tsallis＇s entropy method.The experiment results showed that the novel method obtained the suitable parameter value q and ideal segmentation results.