基于针孔成像像面参数提取的单板机镜头显微成像质量评价方法

Method of microscopic imaging quality evaluation for board lens based on image parameter extraction of pinhole imaging

  • 摘要: 提出以针孔成像调制传递函数面积(MTFA)和MTFA相对变化率作为像面参数,定量评价单板机镜头的显微成像质量。采用针孔法获取不同视场位置的光斑图像,以提取单板机镜头显微成像系统的调制传递函数(MTF);建立单板机镜头透镜组的MTF数学模型,提取边缘视场弧矢方向与子午方向的MTFA和MTFA相对变化率,用于度量被测镜头显微成像清晰度与像面平整度。开展了单板机镜头测试实验,采用论文提出的模型方法定量评价被测镜头显微成像性能,结果表明,Lens2镜头可获得最佳显微成像质量。计算被测镜头RGB点阵图像的平均功率谱(APSV)、灰度平均梯度(GMG)及拉普拉斯算子和(LS),结果显示Lens2点阵图像的APSV、GMG及LS参数值最大分别为2.7202、17.0244及94.9212,且点阵图像清晰度最高,与像面参数评价结果相符,表明论文提出的方法用于定量评价单板机镜头显微成像性能是准确有效的,对提高在线图像可视铁谱(OLVF)探头设计具有重要意义和工程价值。

     

    Abstract: The modulation transfer function area (MTFA) of pinhole imaging and the MTFA relative variation ratio were used as the image surface parameters to quantitatively evaluate the microscopic imaging quality of the board lens. The light spot images located in different fields of view positions were obtained by using the pinhole imaging method to extract the modulation transfer function (MTF) of microscopic imaging system for board lens. The MTF mathematical model of lens system for board lens was established, and the MTFA in sagittal direction and meridian direction of edge field of view as well as the MTFA relative variation ratio were extracted to measure the microscopic imaging definition and image surface flatness of the measured lens. An experiment which was for measuring the board lens was carried out, and the microscopic imaging performance of the measured lens was quantitatively evaluated by using the proposed model and method. The results show that the Lens 2 can obtain the optimal microscopic imaging quality. The definition value of average power spectrum value (APSV), the gray mean gradient (GMG) and the laplacian summation (LS) were calculated respectively from the RGB bitmap images captured by these measured lens. The results show that the maximum parameter value of the APSV, GMG and LS of Lens 2 bitmap images is equal to 2.720 2, 17.024 4 and 94.921 2, respectively. At the same time, the bitmap images have the highest definition, which is consistent with the image surface parameter evaluation results, indicating that the proposed method used in the quantitative evaluation of microscopic imaging performance of board lens is accurate and effective, which is of great significance and engineering value to improve the online image probe design of the on-line visual ferrograph (OLVF).

     

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