DIM SMALL TARGETS FUSION DETECTION ON INFRARED IMAGE

摘要：

To infrared images, the contrast of target and background is low, dim small targets have no concrete shapes and their textures cannot be reliable predicted. The paper puts forward a novel algorithm to fuse mid-wave and long-wave infrared images and detect targets. Firstly, the source images are decomposed by wavelet transformation. In usual, targets in infrared images are man-made, and their fractal dimension is different comparing with natural background. In wavelet transformation domain high-frequency part, we calculate local fractal dimension and set up fusion rule to merge corresponding sub-images of two matching source images. In low-frequency, we extract local maximum gray level to fuse them. Then reconstruct image by wavelet inverse transformation and obtain fused result image. In fusion results, the contrast between targets and background has obvious changes. And targets can be detected using contrast threshold. The experimental results show that the method proposed in this paper using wavelet transformation fractal dimension to fuse dual band infrared images, and then detect targets is better than using mid-wave or long -wave infrared images detect targets alone.

关键词： Image Fusion Detection Wavelet Fractal

作者: YU-QIU SUN YU ZHENG JIN-WEN TIAN JIAN LIU

作者单位: School of Information and Mathematics, Yangtze University, Jingzhou 434023, China State Education Commission Key Laboratory for Image Processing and Intelligent Control, Institute fo State Education Commission Key Laboratory for Image Processing and Intelligent Control, Dept.of Elec

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 28-32

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）