基于椭圆拟合的医用内窥镜图像相对畸变率检测方法研究
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摘要
为快速有效评价临床使用内窥镜图像相对畸变的程度,提出一种基于椭圆拟合的检测方法。对内窥镜采集到的标准板图像进行二值化处理和图像分割;运用anny算子对图像进行边缘检测并提取坐标值,通过最小二乘法拟合椭圆,求得椭圆参数;计算相对畸变率。对3支内窥镜进行了椭圆拟合和定位质心相对畸变率检测,结果显示相对畸变率在30%左右,一致性差在2%左右,椭圆拟合相较而言稳定性更好。
In order to evaluate the degree of relative distortion rate of clinical endoscopic images, adetecting method based on ellipse fittingalgorithm is proposed. First, the standard plate image captured by endoscope is processed by binary processing and segmentation pretreatment, the edge and coordinate of the image are detected by using canny operator. Then the ellipse is fitted by the least square method, and the parameters of the ellipse are obtained. Finally, the relative distortion rateis calculated. The relative distortion rate of 3 sets of endoscopes used ellipse fittingalgorithmand locating the center of mass method aredetected, and the results show that the relative distortion rate is less than 30%, and the consistency is less than 2%. By contrast, the stability of ellipse fittingalgorithm performs better.
In order to evaluate the degree of relative distortion rate of clinical endoscopic images, adetecting method based on ellipse fittingalgorithm is proposed. First, the standard plate image captured by endoscope is processed by binary processing and segmentation pretreatment, the edge and coordinate of the image are detected by using canny operator. Then the ellipse is fitted by the least square method, and the parameters of the ellipse are obtained. Finally, the relative distortion rateis calculated. The relative distortion rate of 3 sets of endoscopes used ellipse fittingalgorithmand locating the center of mass method aredetected, and the results show that the relative distortion rate is less than 30%, and the consistency is less than 2%. By contrast, the stability of ellipse fittingalgorithm performs better.
引文
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[4] 赵治翔.医用内窥镜质量检测中的图像识别技术研究[D].西安:西安工业大学,2018.Zhao Zhixiang.Research in image recognition technology in medical endoscope quality detection[D].Xi’an:Xi’an Technological University,2018
[5] 姬宇虹.医用电子内窥镜光学性能的检测技术研究[J].自动化与仪器仪表,2017(5):224—226.Ji Yuhong.Research on the detection technology of the optical properties of medical electronic endoscope[J].Automation & Instrumentation,2017(5):224—226.
[6] Shih M H,Tung S H.A method for correcting radial distortion based on verifying the planarity of specimens[J].Sādhanā,2017,42(11):1943—1952.
[7] 陈冬青,谢洪波,徐智,等.医用电子内窥镜图象畸变校正方法的研究[J].中国生物医学工程学报,2001,20(1):89—94.Chen Dongqing,Xie Hongbo,Xu Zhi,et al.Study on correction of distorition in medical electronic endoscope image[J].Chinese Journal of Biomedical Engineering,2001,20(1):89—94.
[8] Ramin Shahidi,Michael RBax,Calvin R.et al.Implementation,calibration and accuracy testing of an image-enhanced endoscopy system[J].IEEE Transactions on Medical Imaging,2002,21(12):1524—1535.
[9] Vijayan Asari K,Kumar Sanjiv,Radhakrishnan D.A new approach for nonlinear distortion correction in endoscopic images based on least squares estimation[J].IEEE Transactions on Medical Imaging,1999,18(4):345—354.
[10] Rui Melo,Joo P.Barreto,Gabriel Falco.A new solution for camera calibration andreal-time image distortion correction inmedical endoscopy-initial technical evaluation[J].IEEE Transactions on Medical Imaging,2012,59(3):634—644.
[11] 胡卫东,胡晓明,李勤,等.内窥镜校正中棋盘格标志点自动提取方法[J].光学技术,2013,39(6):517—521.Hu Weidong,Hu Xiaoming,Li Qin,et al.Auto-extracting technique for checkerboard corners for endoscopy[J].Optical Technique,2013,39(6):517—521.
[12] 黄德球,樊翔,黄志强,等.医用硬性内窥镜单位相对畸变测定[J].中国医疗器械信息,2013,(9):28—30.Huang Deqiu,Fan Xiang,Huang Zhiqiang,et al.Determination of medical rigid endoscope unit relative distortion[J].China Medical Device Information,2013,(9):28—30.
[13] 郁道银,谭恒英.工程光学[M].机械工业出版社,2005:120—121.Yu Daoyin,Tan Hengying.Optical engineering[M].China Machine Press,2005:120—121.
[14] 黄斌,孙永荣,杨博文,等.迭代最小二乘椭圆拟和的锥套图像检测与跟踪[J].中国图象图形学报,2014,18(8):1202—1209.Huang Bin,Sun Yongrong,Yang Bowen,et al.Drogue image detecting and tracking based on iterativeleast squares ellipse fitting[J].Journal of Image and Graphics,2014,18(8):1202—1209.