福州大学学报（自然科学版）2017，Vol.45Issue(6)：794-800,7.DOI:10.7631/issn.1000-2243.2017.06.0794
改进的分数阶微分及图论的粘连血细胞图像分割
Touching blood cell image segmentation based on improved fractional order differentiation and graph theory
摘要
Abstract
For blurring and low contrast of the blood cell images, an image preprocessing method based on improved fractional differential was put forward. This method was combined with morphologi-cal denoising processing and improved round mask operator of fractional differential enhancement, fil-tering the staining contamination and grain noise of the blood cell images, and retaining the edge de-tails of the cells. Also an improved cell image segmentation algorithm based on watershed algorithm and minimum spanning tree ( MST) algorithm was proposed, which solved the problem of low efficiency and over-segmentation. The pre-processed cell images were split by watershed algorithm. Then, the o-ver-segmentation areas were mapped to nodes. At forwards, the cell images were segmented by the im-proved MST algorithm. The new algorithm can alleviate the over-segmentation problem of watershed al-gorithm, and effectively reduce the number of nodes in MST algorithm. Experimental results indicate that the studied algorithm is ideal and effective.关键词
血细胞图像分割/分水岭算法/最小生成树(MST)/分数阶微分Key words
blood cell image segmentation/watershed algorithm/minimum spanning tree ( MST )/fractional differentiation分类
信息技术与安全科学引用本文复制引用
林丽群,王卫星..改进的分数阶微分及图论的粘连血细胞图像分割[J].福州大学学报（自然科学版）,2017,45(6):794-800,7.基金项目
国家自然科学基金资助项目( 61170147) （ 61170147）
福建省教育厅科研资助项目( JAT160075) （ JAT160075）
