A New Approach for Segmentation and Quantification of Cells or Nanoparticles
文献类型：期刊论文
| 作者 | Wang ZZ(王振洲)
|
| 刊名 | IEEE Transactions on Industrial Informatics
 |
| 出版日期 | 2016 |
| 卷号 | 12期号:3页码:962-971 |
| 关键词 | Cell image processing morphological erosion nanoparticles, segmentation threshold selection |
| ISSN号 | 1551-3203 |
| 产权排序 | 1 |
| 通讯作者 | 王振洲 |
| 中文摘要 | With the rapid development of microscopy imaging technology, the requirement for robust segmentation and quantification of cells or nanoparticles increases greatly. It remains challenging due to the diversity of the cell or nanoparticle types, the arbitrary shapes, and the large numbers of cells or nanoparticles. The most existing methods are only capable of segmenting some specific types of cells or nanoparticles. In this paper, we propose a more versatile approach that is capable of segmenting a variety of cells or nanoparticles. It consists of five parts: 1) automatic gradient image formation; 2) automatic threshold selection; 3) manual calibration of the threshold selection method for each specific type of cell or nanoparticle images; 4) manual determination of the segmentation cases for each specific type of cell or nanoparticle images; and 5) automatic quantification by iterative morphological erosion. After the parameter, N is calibrated and the segmentation case is determined manually for each specific type of cell or nanoparticle images with one or several typical images; only parts 1), 2), and 5) are needed for the rest of processing and they are automatic. The proposed approach is tested with different types of cell and nanoparticle images. Experimental results verified its effectiveness. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Automation & Control Systems ; Computer Science, Interdisciplinary Applications ; Engineering, Industrial |
| 研究领域[WOS] | Automation & Control Systems ; Computer Science ; Engineering |
| 关键词[WOS] | IMAGE SEGMENTATION ; SELECTION METHOD ; ACTIVE CONTOURS ; RECOGNITION |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000378530300008 |
| 源URL | [http://ir.sia.cn/handle/173321/18728]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 推荐引用方式 GB/T 7714 | Wang ZZ. A New Approach for Segmentation and Quantification of Cells or Nanoparticles[J]. IEEE Transactions on Industrial Informatics,2016,12(3):962-971. |
| APA | Wang ZZ.(2016).A New Approach for Segmentation and Quantification of Cells or Nanoparticles.IEEE Transactions on Industrial Informatics,12(3),962-971. |
| MLA | Wang ZZ."A New Approach for Segmentation and Quantification of Cells or Nanoparticles".IEEE Transactions on Industrial Informatics 12.3(2016):962-971. |
入库方式： OAI收割
来源：沈阳自动化研究所
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