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| 球结膜图像的血管识别 | |
| 引用本文： | 朱坤,陈新兴,季立贵. 球结膜图像的血管识别[J]. 中国医学物理学杂志, 2010, 27(6): 2268-2270. DOI: 10.3969/j.issn.1005-202X.2010.06.017 |
| 作者姓名： | 朱坤 陈新兴 季立贵 |
| 作者单位： | [1]中国矿业大学资源与地球科学学院,江苏徐州221008 [2]中国矿业大学信息与电气工程学院,江苏徐州221008 [3]徐州医学院公共教育学院,江苏徐州221004 [4]六盘水师范学院,贵州六盘水553004 |
| 基金项目： | 2009年徐州医学院科研项目，2010年徐州医学院公共教育学院科研项目 |
| 摘 要： | 目的：在人体微循环系统中,球结膜图像对血压的测定以及未来血管疾病发展有着良好的预测性。通过显微镜观察,虽可以清晰地看到球结膜图像,但是想直接从球结膜图像中识别出球结膜血管却较为困难,本文希望对球结膜图像进行边缘检测,以利于血管的准确识别。方法：采集24位彩色显微图像,对其进行灰度化处理及图像滤波后,利用M-H算子进行边缘检测。结果：处理后的显微图像可以非常完美的识别多级血管。结论：可见M-H算子适宜于进行球结膜图像的边缘检测。 |
| 关 键 词： | M-H算子 球结膜 边缘检测 血管识别 |
Vessel Recognition of Bulbar Conjunctiva Image |
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| ZHU Kun,CHEN Xin-xing,JI Li-gui. Vessel Recognition of Bulbar Conjunctiva Image[J]. Chinese Journal of Medical Physics, 2010, 27(6): 2268-2270. DOI: 10.3969/j.issn.1005-202X.2010.06.017 | |
| Authors: | ZHU Kun CHEN Xin-xing JI Li-gui |
| Affiliation: | 1.School of Resources and Earth Science,China University of Mining and Technology,Xuzhou Jiangsu 221008,China;2.School of Information and Electrical Engineering,China University of Mining and Technology,Xuzhou Jiangsu 221008,China;3.School of Basic Education Sciences,Xuzhou Medical College,Xuzhou Jiangsu 221003,China;4.Liupanshui Normal College,Liupanshui Sichun 553004,China) |
| Abstract: | Purpose：Taking blood pressure and vascular disease assessment are available for examination of bulbar conjunctiva image in microcirculation area.High definition bulbar conjunctiva image can be got by microscope,although many difficulties there will be when vessel is directly recognized from bulbar conjunctiva image.This paper tries to do conjunctival image edge detection,helping accurately identify vascular.Methods：We collected 24-bits color microscopic bulbar conjunctiva images,and then did edge dectection based on M-H operators,after gray-scale processing and image filtering of image.Results：The multistage vessels of microscopic image can be very perfectly recognized after treatment.Conclusions：It is clearly that the M-H operators is suitable for conjunctiva image edge detection. |
| Keywords: | Marr-Hildreth operator bulbar conjunctiva edge detection vessel recognition |
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