分割太赫兹全息再现像的复合方法的比较

Comparison of Composite Image Segmentation Methods for Terahertz Holography Reconstruction Images

为实现太赫兹同轴全息再现图像识别,通常需要图像分割以提取图像特征。太赫兹同轴数字全息再现图像包含一定程度的噪声,影响分割质量。本文针对太赫兹同轴全息再现像特点采用了基于裁剪、镜像扩展、滤波和直方图多项式拟合的复合分割方法,用该方法分别对垫片和齿轮的2.52THz同轴全息真实再现像进行了处理,并分步与基本全局阈值法和大津法进行了比较分析,同时用马修斯相关系数进行了客观评价。实验结果表明,该复合方法可以得到较好的分割结果。

Image segmentation is usually needed to extract the features in order to recognize images of terahertz inline digital holography reconstruction. The images of terahertz inline digital holography reconstruction contain various degree of noise, which affects the quality of segmentation. In this paper, the composite segmentation method based on the dipping, mirror expansion, filtering and histogram polynomial fitting is adopted for the characteristics of terahertz holographic reconstructed image. By using this method, the 2. 52 THz images of terahertz inline digital holography reconstruction of gasket and gear are processed and compared step by step with the basic global threshold method and the Otsu method, and objectively evaluated with Mathews correlation coefficient. Experimental results show that the composite method can get better segmentation results.