期刊文献+

一种粘连血细胞图像分割新方法 被引量:3

New approach for segmentation of overlapping blood cell images
在线阅读 下载PDF
导出
摘要 提出一种基于血细胞近圆形特征的粘连血细胞分割方法。用形态学腐蚀得到距离图和图像的边缘,并利用灰度重建得到细胞的中心区域和圆心,在此基础上基于细胞圆形特征对细胞的边缘进行搜索,得到粘连细胞的分离点,从而求得分离线,完成对粘连血细胞的精确分割。实验表明,该分离方法是有效可行的。 To segment the overlapping blood cells,an approach based on the characteristic that the blood cells are disk-shaped is proposed.A distance map and the edge of image can be obtained by morphological erosion,while the regional centers and centers of circle can be deserved with grayscale reconstruction algorithm.After all of these,the edge of the blood cells is searched based on the circular characteristics to find the separating points and separating line,then the overlapping blood cells are segmented into singles accurately.The experimental results show that the proposed approach is feasible and effective.
作者 印勇 李阿琼
出处 《计算机工程与应用》 CSCD 北大核心 2009年第35期173-175,共3页 Computer Engineering and Applications
基金 重庆大学"211工程"三期创新人才培养计划建设项目(No.S-09102)
关键词 粘连细胞 图像分割 圆形特征 分离点 分离线 overlapping cells image segmentation disk-shaped characteristic separating points separating line
  • 相关文献

参考文献9

二级参考文献40

共引文献147

同被引文献24

  • 1万卫兵,施鹏飞.基于综合技术的组织细胞图像分割[J].计算机应用,2006,26(2):400-402. 被引量:3
  • 2熊承仁,唐辉明,刘宝琛,张家生.利用SEM照片获取土的孔隙结构参数[J].地球科学(中国地质大学学报),2007,32(3):415-419. 被引量:50
  • 3Bengtsson E, Wihlby C, Lindblad J. Robust cell image segmentation methods [J]. Pattern Recognition and Image Analysis, 2004, 14(2) : 157 - 167.
  • 4Cloppet F, Boucher A. Segmentation of overlapping/ aggregating nuclei cells in biological images [C]// Proceedings of 19th International Conference on Pattern Recognition. Tampa, USA: International Conference on Pattern Recognition Press, 2008:1 -4.
  • 5LIN Zhonghua. The cell image segmentation based on the K-L transform and OTSU method [C]// Proceedings of International Conference on Multimedia and Signal Processing. Guilin, China: International Conference on Multimedia and Signal Processing Press, 2011:25 -28.
  • 6Ficarra E, Cataldo S D, Aequaviva A, et al. Automated segmentation of cells with IHC membrane staining [J]. IEEE Transactions on Biomedical Engineering, 2011, 58(5) : 1421 - 1429.
  • 7Ruberto C D, Dempster A, Khan S, et al. Segmentation of blood images using morphological operators [J]. Image and Vision Computing, 2002, 20(3) : 133 - 146.
  • 8Adollah R, Mashor M Y, Rosline H, et al. Blood cell image segmentation: A review [C]// Proceedings of 21st International Conference on Biomedical Engineering. Kuala Lumpur, Malaysia: Biomed Press, 2008:141-144.
  • 9Vandenberg E H, Meesters A G C A, Kenter J A M, et al. Automated separation of touching grains in digital images of thin sections [J]. Computers Geosciences, 2002, 28(2): 179 - 190.
  • 10Lantuejoul C, Beucher S. On the use o{ geodesic metric in image analysis [J]. Journal of Microscopy, 1981, 121(l) 39 -49.

引证文献3

二级引证文献10

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部