Comparison of Composite Image Segmentation Methods for Terahertz Holography Reconstruction Images

Image segmentation is usually needed to extract the features in order to recognize images of terahertz inlinc digital holography reconstruction. The images of terahertz inlinc digital holography reconstruction contain various degree of noise, which affects the quality of segmentation. In this paper, the composite segmentation method based on the clipping, 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 inlinc digital holography reconstruction of gasket and gear arc 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.