Terahertz / Visible Dual-band Image Fusion Based on Hybrid Principal Component Analysis

Abstract

This study puts forward a kind of passive terahertz image and visible image fusion method. Our method takes two steps of image fusion. First step involves a pre-processing of the passive terahertz image and image fusion using principal component analysis. Registered terahertz image is segmented and pseudo-color encoded. Taking the characteristics of terahertz image and visible image into account, principal component analysis is used to fuse the dualband images. HIS method is used for the second step of image fusion. The experiment results show that this algorithm can effectively fuse passive terahertz and visible image and is helpful to detect and locate dangerous objects concealed under the clothes of the target subjects to strengthen the practicability of terahertz imaging system for security screening.