摘要
使用一种基于模糊理论的多阈值选取方法来分割图像,并引入遗传算法来实现。在此基础上,改进了遗传算子的交叉率,提出了一种自适应的遗传算法。实验表明,提出的算法不仅可以正确分割图像,而且能够有效提高分割速度。
A method for multi-level threshold selection with a fuzzy measure is used through the introduction of the genetic algorithm to realize the image segmentation. Based on it, a new adaptive genetic algorithm is proposed with modification of the crossover probability of genetic operators. The experiment reasults show that this algorithm can not only implement the image segmentation correctly but also increase its speed greatly.
出处
《解放军理工大学学报（自然科学版）》
EI
2003年第6期37-40,共4页
Journal of PLA University of Science and Technology(Natural Science Edition)
关键词
模糊测度
图像分割
遗传算法
fuzzy measure
image segmentation
genetic algorithm
