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The Method for Calculating Weak Contrast Schlieren Sphere Center in Integrated Diagnostic Fast Automatic Collimation System

机译:集成诊断快速自动准直系统弱对比施洛亨球中心的计算方法

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Aiming at the characteristics that the contrast of schlieren sphere image is weak, the color of spheretarget is black, and the sphere target is surrounded by background area in the fast collimation process ofintegrated diagnostic system, a method for calculating the schlieren sphere center based on gray stretchingand digital morphology is proposed in this paper. Firstly, the original image is transformed by linear grayscale to enhance the contrast between the schlieren sphere target and the background area, and then the lineargray scale image is binarized by using the OTSU method. Secondly, the background area is transformed into acontinuous connected region by using digital morphological operations such as corrosion and expansion, andsearch for the maximal connected area is the background area. Thirdly, the image of using digital morphologymethod and the image of background area are processed NOR operation to obtain the schlieren sphere target.Finally, on the basis of edge detection by sobel operation, the least square method is used to fit the center andradius of the schlieren sphere. The experimental results show that the algorithm can calculate the center of theschlieren sphere whose gray level difference between the sphere area and the background area is greater than10( the max gray level is 4095). The error between the center coordinate obtained by circle fitting method andthe real center coordinate is less than 2 pixels, which meets the requirement of the integrated diagnostic beamfast automatic collimation system that the accuracy of the schlieren sphere center is less than 3 pixels.
机译:针对Schlieren球体图像较弱的特征,球体的颜色目标是黑色,球体目标被快速准直过程所包围集成诊断系统,基于灰色拉伸计算Schlieren球体的方法本文提出了数字形态。首先,原始图像由线性灰色转换规模以增强Schlieren球体目标和背景区域之间的对比,然后是线性的通过使用OTSU方法,灰度尺度图像是二值化的。其次,背景区域被转换为一个通过使用腐蚀和扩展等数字形态操作的连续连接区域,以及搜索最大连接区域是后台区域。第三,使用数字形态的形象处理背景区域的方法和图像,也不是操作以获得Schlieren球体目标。最后,在通过Sobel操作的边缘检测的基础上,最小二乘法用于适合中心和Schlieren球体的半径。实验结果表明,该算法可以计算中心的算法Schlieren球体球体区和背景区域之间的灰度差异大于10(最大灰度为4095)。圆圈拟合方法获得的中心坐标之间的误差实际中心坐标小于2个像素,符合集成诊断梁的要求快速自动准直系统,Schlieren球体中心的准确性小于3个像素。

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