多任务烟花细胞跟踪和轮廓估计算法

Jian Shi, Benlian Xu, Peiyi Zhu, Mingli Lu
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引用次数: 4

摘要

细胞生命周期过程的动力学分析在医学研究中是必不可少的。荧光显微镜成像中多细胞的跟踪常常面临图像噪声和杂波严重、细胞间的遮挡和粘附、图像分辨率和对比度低等障碍。为了获得多细胞的完整动态,提出了一种基于烟花爆炸的多任务跟踪算法,用于低收缩图像序列中的多细胞跟踪。采用传统的烟花算法确定细胞位置,然后采用简化的烟花爆炸搜索策略估计细胞轮廓。仿真结果验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-task firework algorithm for cell tracking and contour estimation
Dynamics analysis of cells' lifecycle progression is essential in medical research. Multiple cells tracking through fluorescence microscopy imaging is often challenged by many roadblocks including the severe image noise and clutter, the occlusion and adhesion among cells, and the low resolution and contrast of image. To gain full dynamics of multiple cells, a novel multi-task firework explosion based tracking algorithm is proposed for multiple cells tracking in low contract image sequences in this paper. A conventional firework algorithm is used to determine the cell location, and a simplified firework explosion searching strategy is then adopted to estimate the cell contour. Simulation results verify the effectiveness of the methods.
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