一种新的基于蚁群信息素预测的多相邻细胞跟踪方法

Mingli Lu, Benlian Xu, Peiyi Zhu, Jian Shi, Jihong Zhu
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引用次数: 0

摘要

本文提出了一种基于信息素预测的蚂蚁多相邻细胞跟踪算法。为了提高算法的效率,减少算法的计算时间,基于信息素预测机制实现了信息素场的演化。在对算法进行详细描述的同时,还报道了许多仿真结果。结果表明,该算法能够自动准确地跟踪真实细胞图像序列中的大量细胞,与其他方法相比,具有良好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel multiple adjacent cell tracking approach based on pheromone prediction of ant colony
In this paper, we proposed a novel ant algorithm based on pheromone prediction for multiple adjacent cell tracking. In order to improve the efficacy and reduce the computing time of our proposed algorithm, evolution of pheromone fields is achieved based on pheromone prediction mechanism. Along with a detailed description of our algorithms, many simulation results are reported on. The results suggest that our algorithm can automatically and accurately track numerous cells in real cell image sequences, and obtain favorable performance compared with other methods.
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