A semi-automatic method for robust and efficient identification of neighboring muscle cells
文献类型：期刊论文
| 作者 | Wang ZZ(王振洲)
|
| 刊名 | Pattern Recognition
 |
| 出版日期 | 2016 |
| 卷号 | 53页码:300-312 |
| 关键词 | Segmentation Threshold selection Morphological erosion Morphological dilation Muscle cell/fiber |
| ISSN号 | 0031-3203 |
| 产权排序 | 1 |
| 通讯作者 | 王振洲 |
| 中文摘要 | Segmentation and identification of muscle cells robustly and efficiently is of considerable importance in determining the muscle's physiological conditions. It is challenging due to frequently occurring artifacts, indistinct boundary between adjacent cells, the arbitrary shape and large number of cells. Currently, the widely used segmentation and quantification tools are usually manual or semi-automatic, which is time-consuming and labor intensive. In this paper, a semi-automatic method is proposed to segment the muscle cells robustly and efficiently. The proposed approach utilizes and evolves three fundamental image processing techniques, threshold selection, morphological ultimate erosion and morphological dilation. Experimental results verified the effectiveness of the proposed method. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| 研究领域[WOS] | Computer Science ; Engineering |
| 关键词[WOS] | RESTRICTED EQUIVALENCE FUNCTIONS ; IMAGE SEGMENTATION ; FUZZY-SETS ; AUTOMATED SEGMENTATION ; MEMBERSHIP FUNCTIONS ; SELECTION METHOD ; FIBER IMAGES ; MICROSCOPY ; RECOGNITION ; CONTOURS |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000370885700023 |
| 源URL | [http://ir.sia.cn/handle/173321/17616]  |
| 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 semi-automatic method for robust and efficient identification of neighboring muscle cells[J]. Pattern Recognition,2016,53:300-312. |
| APA | Wang ZZ.(2016).A semi-automatic method for robust and efficient identification of neighboring muscle cells.Pattern Recognition,53,300-312. |
| MLA | Wang ZZ."A semi-automatic method for robust and efficient identification of neighboring muscle cells".Pattern Recognition 53(2016):300-312. |
入库方式： OAI收割
来源：沈阳自动化研究所
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