Fusion of infrared-visible images using improved multi-scale top-hat transform and suitable fusion rules |
| |
Institution: | 1. Northwestern Polytechnical University, 127 Youyixi road, Shanxi province, Xi''an 710072, China;2. Xidian University, 2 Taibaisouth road, Shanxi province, Xi''an 710071, China |
| |
Abstract: | Integration of infrared and visible images is an active and important topic in image understanding and interpretation. In this paper, a new fusion method is proposed based on the improved multi-scale center-surround top-hat transform, which can effectively extract the feature information and detail information of source images. Firstly, the multi-scale bright (dark) feature regions of infrared and visible images are respectively extracted at different scale levels by the improved multi-scale center-surround top-hat transform. Secondly, the feature regions at the same scale in both images are combined by multi-judgment contrast fusion rule, and the final feature images are obtained by simply adding all scales of feature images together. Then, a base image is calculated by performing Gaussian fuzzy logic combination rule on two smoothed source images. Finally, the fusion image is obtained by importing the extracted bright and dark feature images into the base image with a suitable strategy. Both objective assessment and subjective vision of the experimental results indicate that the proposed method is superior to current popular MST-based methods and morphology-based methods in the field of infrared-visible images fusion. |
| |
Keywords: | Infrared and visible images fusion Multi-scale top-hat transform Bright and dark features extraction Fuzzy logic Multi-judgment contrast |
本文献已被 ScienceDirect 等数据库收录! |
|