数字散斑条纹图的滤波方法

Filtering Methods of the Digital Speckle fringe Pattern

  • 摘要: 在现代数字散斑测量方法中,一般采用减模式来产生数字散斑条纹图,它是进一步图像处理的信息载体,同时不可避免地附带有大量的乘性噪声。为了保证测量精度,在进一步图像处理前必须对其进行降噪,选择合适的滤波方法显得尤为重要。在多年实际经验及阅读了大量文献的基础上,该文对国内外常用的数字散斑干涉条纹图滤波方法进行了分类阐述,选择了一些有代表性的方法予以实现,给出实验结果,并进行了对比分析。最后对数字散斑干涉条纹图滤波方法的发展方向给出了自己的看法。

     

    Abstract: In modern digital speckle measurement method, we usually adopt subtraction to derive a digital speckle fringe pattern, which is information carrier for postprocessing and inherently full of multiplicative noise. Noise reduction is needed before next processing step in order to guarantee the measurement precision. Which filtering methods should be adopted is much important. The authors expatiate some often used filtering methods in the digital speckle fringe pattern after reading a lot of concerned papers. Some representative filtering methods are selected for the purpose and the results are analyzed. At the end of the paper, the development direction of the filtering methods of digital speckle fringe pattern is presented.

     

/

返回文章
返回