研究子窗口对数字散斑相关计算影响的新方法

子窗口尺寸选择是数字散斑相关计算中的一个重要问题，对计算结果的精确度有重要的影响，研究了子窗口内各像素对计算结果的影响，并提出了一种新的方法用于处理该问题。该方法不再像传统数字散斑相关方法中那样平等对待所有的像素，而是根据它们从目标图像中识别出子窗口的能力分别处理，各像素的权系数由分布函数根据它们与参考图像子窗口中心的距离计算得到。与传统的选择子窗口尺寸的方法相比，该方法不仅具有根据不同测试条件选择合适数量的像素包含进子窗口的功能，而且缓解了子窗口边缘像素对计算结果的影响，提高了相关计算的精度。

Abstract

Subset size selection is an essential step for digital image correlation which affects the calculation accuracy greatly. The effects of pixels in a subset on calculation result are investigated. A new method is developed to deal with the problem. In the method, all the pixels in a subset are not treated equally as the traditional method. Coefficients are set to each pixel rely on the importance of them to identify a subset from target images which are calculated by the normal distribution based on the distances between them and the central pixel. Similar to subset size selection in traditional digital image, it is availabe to select appropriate number of pixels in subsets according to test conditions. The effect of pixels at the edge of subsets on correlation calculation is somewhat alleviated. Thus, the calculation accuracy is improved.

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梁振宁, 印波, 王石刚. 研究子窗口对数字散斑相关计算影响的新方法[J]. 光学学报, 2014, 34(12): 1212005. Liang Zhenning, Yin Bo, Wang Shigang. Study on Effect of Subset Size on Digital Image Correlation with a New Method[J]. Acta Optica Sinica, 2014, 34(12): 1212005.

研究子窗口对数字散斑相关计算影响的新方法

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