基于变分水平集的显微注射过程细胞分割

Cell Segmentation in the Process of Cell Microinjection Based on Variation Level Set

对于显微注射过程中的细胞质分割问题,传统水平集模型无法在多个目标连成一体的情况下分割出细胞质,且分割速度慢.为此,文中首先依据形状差异性特点获取细胞和注射针的联合轮廓,而后结合变分水平集理论增加边缘约束条件,改进能量泛函模型,实现对细胞质的完整分割,同时大幅提升水平集收敛速度.实验结果表明,文中算法可以快速实现细胞质的独立分割,同时避免对其他目标的错误分割.

So far as the cytoplasm segmentation in the process of cell microinjection is concerned,the traditional level set models can not directly segment cytoplasm from multiple adhered targets. Additionally,they are slow in segmentation. In order to solve these problems,a new cell segmentation method based on variation level set is proposed. In this method,the joint contour of cell and injection pipette is acquired according to the difference in shape. Then,by combining the variation level set theory,an extra edge constraint is added to improve the energy functional model. A complete cell segmentation is thus achieved and the convergence speed of the variation level set is significantly improved. Experimental results indicate that the proposed method helps to perform the independent cytoplasm segmentation rapidly and at the same time avoid wrong segmentation of other targets.