Citation: | Infrared and Visible Image Fusion Algorithm Combined with Regional Characteristics and Edge Characteristics[J]. Infrared Technology , 2018, 40(5): 449-454. |
[1] | LONG Zhiliang, DENG Yueming, WANG Runmin, DONG Jun. Infrared and Visible Image Fusion Based on Saliency Detection and Latent Low-Rank Representation[J]. Infrared Technology , 2023, 45(7): 705-713. |
[2] | WU Ze, MIAO Xiaodong, LI Weiwen, YU Hu. Low-Visibility Road Target Detection Algorithm Based on Infrared and Visible Light Fusion[J]. Infrared Technology , 2022, 44(11): 1154-1160. |
[3] | REN Quanhui, SUN Yijie, HUANG Cansheng. Infrared and Visible Image Fusion Algorithm Based on Regional Similarity[J]. Infrared Technology , 2022, 44(5): 492-496. |
[4] | LI Bobo, MA Yong, ZHANG Xiaoye, FAN Fan. Infrared and Visible Image Fusion Based on BMA Filter and Edge[J]. Infrared Technology , 2018, 40(2): 139-145. |
[5] | ZHANG Haixin, ZHANG Zhenglong, LI Xiaoqi, KONG Xiangyu, LIU Zhichao. High-Speed Parallel Implementation of Spectral Refinement in Infrared Fourier Spectrometer[J]. Infrared Technology , 2017, 39(7): 599-604. |
[6] | WU Dongpeng, BI Duyan, MA Shiping, HE Linyuan, ZHANG Yue. Infrared and Visible Image Fusion Based on Improved Saliency Map in NSST Domain[J]. Infrared Technology , 2017, 39(4): 358-364. |
[8] | Image Fusion Algorithm for Visual and Infrared Image Based on Local Energy Ratio[J]. Infrared Technology , 2008, 30(4): 221-224. DOI: 10.3969/j.issn.1001-8891.2008.04.010 |
[9] | LIU Liang-yuan, JU Tao. The Angle Distribution Characteristic Study of Light Scattered Intensity on 1-D Weierstrass Fractal Rough Surface[J]. Infrared Technology , 2008, 30(3): 181-184. DOI: 10.3969/j.issn.1001-8891.2008.03.016 |
[10] | WAN Rui-min, HUANG Hui, ZHAO Zeng-lin, CHEN Xue-mei, HU Zan-dong, ZHANG Xiao-wen, JI Rong-bin. Research on Distribution Characteristics of the Precipitates on CdZnTe Wafers[J]. Infrared Technology , 2007, 29(2): 83-87. DOI: 10.3969/j.issn.1001-8891.2007.02.006 |
1. |
许云英,杨瑞,贺天福,刘尚为,范太然,徐晨晨. 基于双分支卷积神经网络的红外与可见光图像局部融合算法. 红外技术. 2022(05): 521-528 .
![]() | |
2. |
张科星. 基于深度学习理论的激光图像融合研究. 激光杂志. 2021(04): 121-125 .
![]() | |
3. |
陈广秋,陈昱存,李佳悦,刘广文. 基于DNST和卷积稀疏表示的红外与可见光图像融合. 吉林大学学报(工学版). 2021(03): 996-1010 .
![]() | |
4. |
苏洪超,胡英,洪少壮. 基于红外图像特征与K-means的边缘检测. 红外技术. 2020(01): 81-85 .
![]() | |
5. |
李志荣. 电话复印文件笔画边缘墨点形态特征定量检验方法. 科学技术与工程. 2020(03): 1125-1130 .
![]() | |
6. |
杜进楷,陈世国. 基于双树复小波变换的自适应PCNN图像融合算法. 红外技术. 2018(10): 1002-1007 .
![]() |