Abstract
In this paper, we propose a new model to segment cells in phase contrast microscopy images. Cell images collected from the similar scenario share a similar background. Inspired by this, we separate cells from the background in images by formulating the problem as a low-rank and structured sparse matrix decomposition problem. Then, we propose the inverse diffraction pattern filtering method to further segment individual cells in the images. This is a deconvolution process that has a much lower computational complexity when compared to the other restoration methods. Experiments demonstrate the effectiveness of the proposed model when it is compared with recent works.
Abstract (translated)
本文提出了一种在相衬显微镜图像中分割细胞的新模型。从类似场景中收集的单元图像具有相似的背景。受此启发,我们将图像中的单元与背景分离,将问题定义为一个低阶结构稀疏矩阵分解问题。然后,我们提出了反衍射模式滤波方法来进一步分割图像中的单个单元。这是一个反褶积过程,与其他恢复方法相比,计算复杂度要低得多。实验结果表明,该模型与最近的研究成果相比较,具有较好的实用性。
URL
https://arxiv.org/abs/1904.00328