电子散斑干涉条纹骨架线提取的新方法

New extraction method for skeleton lines of electronic speckle fringes

电子散斑干涉条纹的强噪声特性使其信噪比过低,常用的图像二值化、细化等算法对散斑干涉条纹的骨架提取都存在一定的不足,文章在对散斑条纹图像平滑去噪、对比度增强的预处理基础上,对其进行边缘提取、填充、细化,从而得到干涉条纹的中心骨架线,提出一种基于MAT-LAB的散班图像自动处理算法。结果表明:文中提出的干涉条纹的细化方法可以准确地找到骨架线,为获得面内位移场的等位移线图提供了一种新方法。

Based on the pretreatment for smooth denoising and contrast enhancement of the speckle fringe patterns, the central skeleton lines of the interference fringes were obtained with the method of edge-extracting, filling and thinning for the electronic speckle fringes. The deficiency in extraction for the skeleton lines of the interference fringes, which can not be overcome by some common algorithms such as binaryzation and thinning due to the strong-noise characteristic of the electronic speckle interference fringes, was overcome by this method. The result shows that the method can find the skeleton lines precisely and provide a new method for achieving the line of equal displacement in the plane displacement field.