Accurate cell segmentation based on biological morphology features
Published in 2018 IEEE International Conference on Systems, Man, and Cybernetics, 2018
Jianfeng Cao, Zhongying Zhao, and Hong Yan. 2018 IEEE International Conference on Systems, Man, and Cybernetics. SMC 2018
Abstract
Microscopic imaging has many applications in biological experiments. It is important to determine the cell locations in an image before other analysis tasks take place. In this paper, we propose a novel method to obtain cell and membrane segmentation based on the combination of k nearest neighbor clustering and biological morphology constraints. First, we produce preliminary segmentation with the watershed transformation. Then the segmentation results are optimized based on the morphological characteristics of the membrane. This method provides us with well-segmented cells and membranes, which significantly reduces errors in cell image analysis.