计算机应用 ›› 2013, Vol. 33 ›› Issue (09): 2690-2693.DOI: 10.11772/j.issn.1001-9081.2013.09.2690

• 典型应用 • 上一篇    下一篇

嵌入式下松弛迭代细胞分割算法的改进与应用

甘岚1,2,林华清1,2   

  1. 1. 华东交通大学 信息工程学院,江西 南昌 330013
    2. 华东交通大学 信息工程学院,江西 南昌 330013
  • 收稿日期:2013-03-11 修回日期:2013-04-25 发布日期:2013-10-18 出版日期:2013-09-01
  • 通讯作者: 林华清
  • 作者简介:甘岚(1964-),女,江西南昌人,教授,主要研究方向:模式识别、图像处理;
    林华清(1988-), 男, 广东汕头人, 硕士研究生,主要研究方向:嵌入式系统。
  • 基金资助:

    国家自然科学基金资助项目;江西省教育厅科研项目

Improvement and application for method of relaxation iterative segmentation based on embedded system

GAN Lan,LIN Huaqing   

  1. School of Information Engineering, East China Jiaotong University, Nanchang Jiangxi 330013, China
  • Received:2013-03-11 Revised:2013-04-25 Online:2013-10-18 Published:2013-09-01
  • Contact: LIN Huaqing

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摘要： 概率松弛迭代分割算法应用在细胞分割上,能够有效克服由于细胞结构复杂、粘连现象严重而造成一般分割算法分割困难的问题。针对该算法计算复杂与嵌入式Linux环境下资源紧张的问题,改进了松弛迭代细胞分割算法,并将其应用到嵌入式环境下基于Qt与OpenCV构建的细胞分割系统中。实验结果表明,改进后的算法能有效解决细胞分割困难的问题,分割结果能够让肉眼清晰分辨出细胞核、细胞质与腺体的区别。改进后的松弛迭代分割算法相比原算法提高了处理速度,并能够移植到嵌入式设备中便于携带协助诊疗。

关键词: 迭代, 嵌入式系统, 图像分割, 细胞分割, Qt, OpenCV

Abstract: The method for iterative probability relaxation segmentation used in cell division can overcome the difficult issues on account of complicated cellular structure and phenomenon of serious adhesion, while the general segmentation algorithm cannot make it effectively. In addition, because of tense embedded resources under the environment of Linux system, the iterative relaxation cellular segmentation algorithm has been improved and then added to the embedded cellular segmentation system based on Qt and OpenCV. The experimental results demonstrate that the improved algorithm can effectively solve the difficult problem of cell division efficaciously and the naked eye can clearly distinguish the difference between the nucleus, cytoplasm and glands. The improved algorithm increases the processing speed and can be transplanted to the embedded facilities convenient for carrying, diagnosing and treating.

Key words: iterative, embedded system, image segmentation, cell division, Qt, OpenCV

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