A Dual-Tree-Complex Wavelet Transform-Based Infrared and Visible Image Fusion Technique and Its Application in Tunnel Crack Detection

被引:2
|
作者
Wang, Feng [1 ]
Chen, Tielin [1 ]
机构
[1] Beijing Jiaotong Univ, Sch Civil Engn, Beijing 100044, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2024年 / 14卷 / 01期
关键词
tunnel detection; image fusion; DT-CWT; semantic segmentation network; U-Net; SEGMENTATION;
D O I
10.3390/app14010114
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Computer vision methods have been widely used in recent years for the detection of structural cracks. To address the issues of poor image quality and the inadequate performance of semantic segmentation networks under low-light conditions in tunnels, in this paper, infrared images are used, and a preprocessing method based on image fusion technology is developed. First, the DAISY descriptor and the perspective transform are applied for image alignment. Then, the source image is decomposed into high- and low-frequency components of different scales and directions using DT-CWT, and high- and low-frequency subband fusion rules are designed according to the characteristics of infrared and visible images. Finally, a fused image is reconstructed from the processed coefficients, and the fusion results are evaluated using the improved semantic segmentation network. The results show that using the proposed fusion method to preprocess images leads to a low false alarm rate and low missed detection rate in comparison to those using the source image directly or using the classical fusion algorithm.
引用
收藏
页数:17
相关论文
共 50 条
  • [21] Dual Tree Complex Wavelet Transform Based SAR Image Despeckling
    Vijaykumar, V. R.
    Mathew, Anu
    Rao, Baskar
    Santhanamari
    2012 4TH INTERNATIONAL CONFERENCE ON INTELLIGENT AND ADVANCED SYSTEMS (ICIAS), VOLS 1-2, 2012, : 886 - 891
  • [22] SAR Image Denoising Based on Dual Tree Complex Wavelet Transform
    Wang, Huazhang
    COMPUTER SCIENCE FOR ENVIRONMENTAL ENGINEERING AND ECOINFORMATICS, PT 2, 2011, 159 : 430 - 435
  • [23] Fusion-based image de-fogging using dual tree complex wavelet transform
    Kansal, Isha
    Kasana, Singara Singh
    INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING, 2018, 16 (06)
  • [24] IMAGE FUSION BASED ON PRINCIPAL COMPONENT ANALYSIS IN DUAL-TREE COMPLEX WAVELET TRANSFORM DOMAIN
    Yan, Yue-Hao
    Linping-Li
    Fubo
    Yang, Ya-Zhi
    2012 INTERNATIONAL CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (LCWAMTIP), 2012, : 70 - 73
  • [25] Multi-sensor Image Fusion Scheme Based on Dual-Tree Complex Wavelet Transform
    Xie Xiao-zhu
    Xu Ya-wei
    2015 34TH CHINESE CONTROL CONFERENCE (CCC), 2015, : 4857 - 4861
  • [26] Image Fusion Algorithm of Adaptive Simplified PCNN Based on Dual-tree Complex Wavelet Transform
    Huang, Jingxia
    Zhou, Dongming
    Nie, Rencan
    Wang, Bo
    INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ENVIRONMENTAL ENGINEERING (CSEE 2015), 2015, : 1119 - 1126
  • [27] HaarFuse: A dual-branch infrared and visible light image fusion network based on Haar wavelet transform
    Wang, Yuequn
    Liu, Jie
    Wang, Jianli
    Yang, Leqiang
    Dong, Bo
    Li, Zhengwei
    PATTERN RECOGNITION, 2025, 164
  • [28] Dual-Tree Complex Wavelet Transform-based Feature Extraction for Brain Computer Interface
    Tan, Ping
    Tan, Guanzheng
    Cai, Zixing
    2015 12TH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (FSKD), 2015, : 1136 - 1140
  • [29] A dual-tree complex wavelet transform-based approach for recognition of power system transients
    Chakraborty, Soumi
    Chatterjee, Amitava
    Goswami, Swapan Kumar
    EXPERT SYSTEMS, 2015, 32 (01) : 132 - 140
  • [30] Image Compression Algorithms Based on Dual Tree-Complex Wavelet Transform
    Wang, Jing
    Wang, Wenju
    Wang, Xiaohong
    2019 2ND WORLD CONFERENCE ON MECHANICAL ENGINEERING AND INTELLIGENT MANUFACTURING (WCMEIM 2019), 2019, : 508 - 511