Protoplasm somatic cells segmentation based on circle dependent fast level-set segmentation
基于圆形约束快速水平集的原生质体细胞分割

The microscopic image of protoplasm somatic cells typically has blurred boundaries and inhomogeneous object regions.Therefore, it is difficult to segment the cells using traditional methods. First, because the protoplasm cell is round, the circular prior knowledge is added to the fast level set method and then a new circle dependent fast level set segmentation method is proposed. Then, to solve the problem of segmentation for multi protoplasm somatic cells, the pre-segmentation is used before using the fast multi-level set method based on circle information. Furthermore, a new fast level-set method, which is based on the histogram, is proposed to get a better result for the pre-segmentation. The eight-chain code tracking method and the randomized Hough transform for circle detection are used to divide object region resulting from pre-segmentation respectively for multi-cells and multi-clustered cells. Finally, experimental results show that the new method proposed in this paper can deal well with the problem of segmentation for protoplasm somatic cells.