NDLI: Dim small targets fusion detection in infrared image

Content Provider	IEEE Xplore Digital Library
Author	Yu-Qiu Sun Yu Zheng Jin-Wen Tian Jian Liu
Copyright Year	2008
Description	Author affiliation: Sch. of Inf. & Math., Yangtze Univ., Jingzhou (Yu-Qiu Sun; Yu Zheng)
Abstract	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.
Starting Page	28
Ending Page	32
File Size	412958
Page Count	5
File Format	PDF
ISBN	9781424420957
DOI	10.1109/ICMLC.2008.4620373
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fractals Wavelet transforms Pixel Object detection Fuses Approximation methods Manganese Fractal Image Fusion Detection Wavelet
Content Type	Text
Resource Type	Article

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