Image Fusion of PMMW and Optical Images for Concealed Object Detection

Abstract

This paper addresses a method of concealed objects detection by passive millimeter wave (PMMW) images, and on this basis, the fusion techniques of passive millimeter-wave images and optical images is discussed. According to PMMW real-time imager acquired image characteristics and storage methods, firstly, using correlation coefficient method to screen sequence images and the selected images are optimized using wavelet fusion algorithm. Secondly, the concealed objects are detected by Gaussian filter, threshold segmentation and edge detection. Finally, based on YIQ transform, discrete wavelet transform and a fusion rule, the optical image and the extracted concealed object contour are merged. The experimental results show that the proposed method can be effectively applied to human body concealed object detection in millimeter wave video and fuse two different types of images in a fully automated way.