| 计算机视觉检测技术在吻合器检测中的应用研究 |
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| 引用本文： | 韩露,谢海明,郭世俊,王殊轶,葛斌. 计算机视觉检测技术在吻合器检测中的应用研究[J]. 传感器与微系统, 2009, 28(3): 51-53 |
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| 作者姓名： | 韩露 谢海明 郭世俊 王殊轶 葛斌 |
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| 作者单位： | 上海理工大学,医疗器械与食品学院,医疗器械工程研究所,上海,200093 |
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| 基金项目： | 上海市高校科研专项基金 |
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| 摘 要： | 提出了一种利用计算视觉检测带手柄吻合器漏针新方法。通过采用正面光源投照的检测装置，综合运用图像处理和识别方法对利用CMOS相机采集的吻合器图像进行数学形态学，图像增强等方法处理，并提出模糊局部阈值分割算法实现吻合器漏针的自动识别，并根据面积特征判别漏针数。实验表明：该方法能够对多种型号颜色的吻合器进行稳定、准确的快速检测，检测正确率可达95.6％，平均每次检测时间为2.385s，本方法实用性强，适合现代化生产的要求。
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| 关 键 词： | 吻合器检测 计算机视觉 图像识别 模糊阈值分割 |
Application research on computer vision technology in surgical stapler inspection* |
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| HAN Lu,XIE Hai-ming,GUO Shi-jun,WANG Shu-yi,GE Bin. Application research on computer vision technology in surgical stapler inspection*[J]. Transducer and Microsystem Technology, 2009, 28(3): 51-53 |
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| Authors: | HAN Lu XIE Hai-ming GUO Shi-jun WANG Shu-yi GE Bin |
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| Affiliation: | ( Institute of Medical Instrumentation Engineering, School of Medical Instrument ＆ Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China) |
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| Abstract: | A new method for detecting lacked needles of surgical stapler is developed.Illuminated by positive LED light,using all kinds of image processing and feature recognition,the needle is identified automatically using morphological operation,image enhancement and fuzzy local thresholds for segmentation;then the number of lacked needles can be calculated by area feature.The inspection results indicate that the rate of correctness can reach 95.6 %,and the average inspection space can reach 2.385 s/once,which proved that the method is effective,reliable and practicality in actual production. |
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| Keywords: | surgical stapler inspection computer vision image recognition fuzzy-segmentation |
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