基于调焦-Zernike矩算法的微小零件精确定位研究
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张亚军(1968—),男,驻马店职业技术学院副教授。E-mail:hnzyj1968@126.com

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河南科技攻关项目(编号:182102310783);河南省高等教育教学改革研究与实践项目(编号:2017SJGLX683)


Precise positioning of micro parts based on focusing-Zernike matrix algorithm
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    摘要:

    为了提高微小零件精确定位的效果,采用调焦-Zernike矩算法。先建立粗、精结合的调焦函数,粗调焦函数基于Krisch边缘检测算子,精调焦采用Sobel算子;动态选择调焦窗口,增加修正因子避免目标变化对调焦清晰度评价函数的影响,改进经典爬山算法确定焦点的移动方向;改进Zernike矩基于目标点归一化确定最大外接单位圆,通过边缘参数判断像素为边缘点;给出了算法流程。试验仿真通过两个微型金属圆柱腔的自动对准和堆叠的微装配任务来分析算法的性能,结果显示调焦-Zernike矩算法获得的图像清晰,能够完全对准,该方法对非移动的微型金属圆柱腔坐标定位的x、y方向绝对误差最大值分别为0.032 5,0.032 1像素密度,定位精度高。

    Abstract:

    In order to improve the precise positioning of micro parts, focusing-Zernike matrix algorithm were proposed. Firstly, coarse and fine combination focus function was established based on the Krisch edge detection operator and Sobel method. Secondly, focusing window was selected dynamically, and the factor was corrected target size of clarity evaluation function, focus direction was judged by improved hill-climbing algorithm. Thirdly, improved Zernike moment was determined the maximum circumscribed unit circle based on the normalization of the target point, and the pixel was judged edge point using edge parameters, then the process was given. Experimental simulation was done by the automatic alignment and stacked microassembly task of two micro cylindrical cavity to analyze the algorithmic. The results showed that the dynamic adjustment algorithm had a clear image and good alignment, and the maximum value of absolute error in x and y directions were 0.032 5 and 0.032 1 pixels per inch, respectively, which had higher positioning accuracy than other algorithms.

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张亚军.基于调焦-Zernike矩算法的微小零件精确定位研究[J].食品与机械,2020,(10):87-92,109.
ZHANG Ya-jun. Precise positioning of micro parts based on focusing-Zernike matrix algorithm[J]. Food & Machinery,2020,(10):87-92,109.

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  • 在线发布日期: 2023-02-18
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