摘要
针对相差显微镜采集的间充质干细胞图像具有对比度低、背景不均匀、光晕伪影等问题,提出了反背景差分结合Otsu的细胞图像分割方法。该方法通过构建反背景差分增强图像中细胞主体与非细胞区域的差异,降低背景不均匀干扰因素的影响,结合Otsu阈值分割法粗略区分细胞和背景,并通过二值形态学运算、图像滤波和局部梯度迭代的算法组合进一步修正分割结果。通过对实际采集的细胞图像进行分割验证,像素精确度、交并比、Dice相似性系数和汇合度误差四个评价指标分别达到了0.9338、0.7296、0.8524和0.07,表明该算法具有较高的分割性能,能客观、准确自动分析细胞汇合度,而且可以处理细胞不同培养时期的图像,具有较高的应用价值。
Aiming at the problems of low contrast,uneven background and halo artifacts in the images of mesenchymal stem cells collected by the phase contrast microscope,this paper proposes a cell image segmentation method combined with anti-background subtraction and Otsu.The method constructs anti-background subtraction to enhance the difference between the cell body and the non-cellular area and reduce the influence of uneven background,combines the Otsu threshold segmentation method to roughly distinguish the cells and the background,and further corrects the segmentation results by a combination of algorithms including binary morphology operations,image filtering,and local gradient iteration.The four evaluation indexes of pixel accuracy,intersection over union,dice similarity coefficient,and confluency error achieved values of 0.9338,0.7296,0.8524,and 0.07,respectively,by segmentation validation on the actually acquired cell images.The results indicate that the algorithm has high segmentation performance,can objectively,accurately and automatically analyze the confluency of cells,and can process images of cells in different culture periods,which has high application value.
作者
吴京城
洪欢欢
施露露
闻路红
杜亚南
史振志
Wu Jingcheng;Hong Huanhuan;Shi Lulu;Wen Luhong;Du Yanan;Shi Zhenzhi(The Research Institute of Advanced Technologies,Ningbo University,Ningbo 315211,China;China Innovation Instrument Co.,Ltd,Ningbo 315100,China)
出处
《电子测量与仪器学报》
CSCD
北大核心
2021年第4期82-89,共8页
Journal of Electronic Measurement and Instrumentation
基金
国家重点研发项目(2018YFC1603504)
国家自然科学基金(81401452)
宁波市自然科学基金(2017A610164)资助。
关键词
相差显微镜
间充质干细胞
反背景差分
OTSU
汇合度
phase contrast microscope
mesenchymal stem cells
anti-background subtraction
Otsu
confluency
