| 核乳胶中质子径迹计算机辅助识别方法研究 | |
| 阮金陆 ; 李宏云 ; 宋纪文 ; 张建福 ; 陈亮 ; 张忠兵 ; 刘金良 ; RUAN Jin-lu ; LI Hong-yun ; SONG Ji-wen ; ZHANG Jian-fu ; CHEN Liang ; ZHANG Zhong-bing ; LIU Jin-liang | |
| 2016-03-30 ; 2016-03-30 | |
| 关键词 | 核乳胶 反冲质子径迹 计算机辅助识别 径迹重建 nuclear emulsion proton-recoil track computer-aided recognition track reconstruction O571.54 TP391.41 |
| 其他题名 | Computer-aided Method for Recognition of Proton Track in Nuclear Emulsion |
| 中文摘要 | 为克服核乳胶质子径迹人工判读的缺点,研究了一种计算机辅助识别的方法。该方法中,对由显微镜系统获取的核乳胶图像序列依次经组合式滤波器滤波、多阈值二值化、径迹点筛选、径迹点去冗余处理后识别出图像序列中的径迹点,经径迹重建从获取的径迹点中重建出反冲质子径迹。利用该方法从经14.9MeV中子束辐照的核乳胶中提取出反冲质子径迹,并将提取的径迹与人工判读方法提取的径迹进行了比较,结果基本一致。该方法将为核乳胶质子径迹自动判读系统的开发和核乳胶应用于脉冲中子束能谱测量实验奠定重要技术基础。; In order to overcome the shortcomings of the manual method for proton-recoil track recognition in nuclear emulsions,a computer-aided track recognition method was studied.In this method,image sequences captured by a microscope system were processed through image convolution with composite filters,binarization by multi thresholds,track grains clustering and redundant grains removing to recognize the track grains in the image sequences.Then the proton-recoil tracks were reconstructed from the recognized track grains through track reconstruction.The proton-recoil tracks in the nuclear emulsion irradiated by the neutron beam at energy of 14.9MeV were recognized by the computer-aided method.The results show that proton-recoil tracks reconstructed by this method consist well with those reconstructed by the manual method.This computer-aided track recognition method lays an important technical foundation of developments of a proton-recoil track automatic recognition system and applications ofnuclear emulsions in pulsed neutron spectrum measurement. |
| 语种 | 中文 ; 中文 |
| 内容类型 | 期刊论文 |
| 源URL | [http://ir.lib.tsinghua.edu.cn/ir/item.do?handle=123456789/143101]  |
| 专题 | 清华大学 |
| 推荐引用方式 GB/T 7714 | 阮金陆,李宏云,宋纪文,等. 核乳胶中质子径迹计算机辅助识别方法研究[J],2016, 2016. |
| APA | 阮金陆.,李宏云.,宋纪文.,张建福.,陈亮.,...&LIU Jin-liang.(2016).核乳胶中质子径迹计算机辅助识别方法研究.. |
| MLA | 阮金陆,et al."核乳胶中质子径迹计算机辅助识别方法研究".(2016). |
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