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为提高显微操作精度和效率,本文利用实物标记上的两个不同大小的圆,通过霍夫(Hough)圆算法配合人工识别辅助校正,自动建立实物坐标系.再结合图像识别技术、计算机控制的自动平台系统和自主开发的坐标转换算法,提出了一个可实现显微镜下CCD(电荷耦合元件)偏角的自动检测、微观影像的自动扫描和显微操作的再次(重复)定位的方法.实验结果显示,前后两次位置定位的误差可控制在实验所用CCD的取屏范围(640 pix×480 pix)的中间1/4(320 pix×240 pix)范围内,定位成功率可达90%.此方法只需将印有两个圆的透明标签贴于实物底部,安装配套的软件和硬件,即可实现显微镜下实物的精确重复定位.
In order to improve the precision and efficiency of micromanipulation, this paper makes use of Hough circle algorithm combined with artificial recognition aided correction to automatically create the physical coordinate system by using two circles of different sizes on the physical markup.Combined with image recognition technology and computer control , An automatic platform system based on self-developed coordinate transformation algorithm is proposed, which can automatically detect the CCD (Charge Coupled Device) declination under the microscope and automatically (re-scan) the micro-image and re-locate the micro- The results show that the error of the two positions can be controlled within the range of 320 pixels × 240 pix in the middle of the screen area (640 pix × 480 pix) of the CCD for experiment, and the success rate of positioning is up to 90%. This method is only printed with two round transparent label affixed to the physical bottom, the installation of software and hardware support, you can achieve the exact microscopic positioning of the object accurately.