| 图像识别在吻合器漏针检测中的应用 |
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| 引用本文： | 张敏燕,王殊轶,葛斌,周颖,谢海明.图像识别在吻合器漏针检测中的应用[J].上海理工大学学报,2007,29(1):92-94. |
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| 作者姓名： | 张敏燕 王殊轶 葛斌 周颖 谢海明 |
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| 作者单位： | 上海理工大学,医疗器械学院,上海,200093 |
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| 基金项目： | 上海市高校选拔培养优秀青年教师科研项目 |
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| 摘 要： | 提出了一种基于图像处理和模式识别技术的计算机吻合器漏针自动检测方法.该检测系统通过微机控制CMOS摄像机拍下吻合器图像,采用二值化、特征提取和模糊聚类等一系列计算机视觉技术检测漏针.实践表明,该方法准确率高、速度快,比传统检测方法有着更高的可靠性和效率.
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| 关 键 词： | 吻合器 计算机视觉 特征提取 模式识别 |
| 文章编号： | 1007-6735（2007）01-0092-03 |
| 修稿时间： | 2005-12-14 |
Application of computer graphics technology in the detection of staple number of surgical staplers |
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| ZHANG Min-yan,WANG Shu-yi,GE Bin,ZHOU Ying,XIE Hai-ming.Application of computer graphics technology in the detection of staple number of surgical staplers[J].Journal of University of Shanghai For Science and Technology,2007,29(1):92-94. |
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| Authors: | ZHANG Min-yan WANG Shu-yi GE Bin ZHOU Ying XIE Hai-ming |
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| Institution: | College of Medical Instrumentation, University of Shanghai for Science and Technology, Shanghai 200093, China |
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| Abstract: | Based on the techniques of image processing and pattern recognition,a new method for detecting the number of staples of different types of surgical staplers is proposed.Taking image by use of the CMOS sensor controlled by PC,automatically segmenting object and then extracting features,the number of staples is detected by applying fuzzy cluster analysis.The detection method is quick,accurate and credible,and is more effective and reliable than any other traditional manual methods. |
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| Keywords: | surgical stapler computer vision feature extraction pattern recognition |
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