Image Fusion based on Complex Wavelets and Region Segmentation
This paper discusses about a fusion algorithm for infrared and visible light images based on region segmentation and the dual-tree complex wavelet transform. Before image segmentation, morphological top-hat filtering is firstly performed on the IR image and visual images respectively and the details of the luminous area are eliminated. Morphological bottom-hat filtering is then performed on the two kinds of images respectively and the details of the dark area are eliminated. Make the top-hat filtered image subtract the bottom-hat filtered image and obtain the enhanced images. Then the threshold method is used to segment the enhanced images. After image segmentation, the Dual-Tree Complex Wavelet Transform (DTCWT) coefficients from different regions are merged separately. Finally the fused image is obtained by performing inverse DTCWT. The evaluation results show the validity of the presented algorithm.
image fusion region segmentation complex wavelets morphological filter
Xu Hui Yuan Yihui Chang Benkang Han Yiyong Tian Si Tang Shanjun
Institute of Electronic Engineering and Optic-electronic Technology, Nanjing University of Science and Technology Nanjing, Jiangsu Province, P.R.China
国际会议
太原
英文
135-138
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）