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开关电弧图像增强算法研究 被引量:10

Method for Switching Arc Image Enhancement
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摘要 开关电弧的发光特性和电器触头系统及灭弧室的反光特性,使得高速图像采集系统拍摄的图像中很难观察到电器触头。应用基于小波变换的图像增强算法,在变换域中对小波系数进行非线性映射变换,对不同尺度上的小波系数,进行不同程度的增强,降低对噪声的过度增强。实验表明,该方法在明显增强触头图像的同时,降低了噪声的影响,使得电弧图像具有较好的视觉效果。 In order to study low voltage apparatus switching arc feature, high-speed image acquisition technology was used to capture arc image. However, contacts and chamber can't be observed due to the very strong light radiation of arc and weak reflection of contact. A wavelet transform method for weak feature enhancement was adopted. Firstly arc image was decomposed by using wavelet transform, then due to weak feature the weak wavelet coefficients were amplified using nonlinear mapping method, and enhancement image was reconstructed by inverse wavelet transform. To achieve a better visual effect, different coefficient amplifying gain was used at each level. The experiment results showed that the reconstructed image avoids over-enhancement of noise while enhancing weak feature with good visual effect.
出处 《电工技术学报》 EI CSCD 北大核心 2005年第5期20-23,共4页 Transactions of China Electrotechnical Society
基金 国家自然基金资助项目(60272062) 河北省自然基金资助项目(603378)。
关键词 开关电弧 图像增强 小波变换 非线性映射 Switching arc, image enhancement, wavelet transform, nonlinear mapping
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参考文献5

  • 1Thomas J Brown. Adaptive wavelet processing techniques for weak feature emphasis and extraction. Proceedings of Conference on Optical Metrology, Imaging, and Machine Vision, Sep 5-6, 2002, Galway, Ireland,2002:81 -92.
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