基于小波域扩散滤波的弱小目标检测

刘伟宁

基于小波域扩散滤波的弱小目标检测

刘伟宁

中国科学院长春光学精密机械与物理研究所,吉林长春 130033

详细信息

作者简介:
刘伟宁(1963-),男,吉林长春人,硕士,研究员,主要从事数字实时图像处理、机器视觉等方面的研究。 E-mail:Liu.weining@yahoo.com.cn

中图分类号: TP391
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- 被引次数: 0
出版历程
- 收稿日期: 2011-07-17
- 修回日期: 2011-08-18
- 刊出日期: 2011-10-25

Dim target detection based on wavelet field diffusion filter

LIU Wei-ning

Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China

摘要

摘要: 分析了基于小波变换进行弱小目标检测的基本思想,利用小波变换的多尺度多分辨率特性,结合小波变换系数的方向特性和扩散滤波扩散方向的可选择性,提出了基于小波域扩散滤波的弱小目标检测算法。采用该算法对不同尺度、不同方向的小波系数分别进行扩散滤波,取得了较好的效果。仿真试验结果表明:该算法能在Gaussian噪声背景和不均匀背景下实现对对比度为2%的微弱目标的检测。
- 弱小目标检测 /
- 小波变换 /
- 小波域扩散
Abstract: Basic principles of dim target detection based on the wavelet transform is analyzed. According to the multi-scale and multi-direction in the wavelet coefficients and combining with the selectable diffusion direction characters, a new method is designed to denoise and detect small targets by the diffusion filter in different directions and different scales of wavelet coefficients, respectively. Combined a anisotropic filter, the algorithm is used to a diffusion filtering experiment for wavelet coefficients. Results show that the algorithm can detect the dim target with a contrast of 2%, and has better performance in the detection of dim target, robustness to Gaussian noise and uneven backgrounds.
- dim target detection /
- wavelet transform /
- wavelet field diffusion

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