| 面状缺陷超声B扫描检测图像增强研究 |
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| 引用本文： | 高双胜,刚铁,郭小罗. 面状缺陷超声B扫描检测图像增强研究[J]. 焊接, 2007, 0(1): 21-24 |
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| 作者姓名： | 高双胜 刚铁 郭小罗 |
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| 作者单位： | 1. 哈尔滨工业大学现代焊接生产技术国家重点实验室,150001
2. 航天特种材料及工艺技术研究所,北京市,100074 |
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| 摘 要： | 针对面状焊接缺陷超声B扫描检测图像受噪声污染造成的质量下降问题,利用多尺度小波分析方法,对超声B扫描图像进行了增强处理.分析了缺陷信号和噪声的小波变换特性,分别在软、硬阈值函数条件下,采用固定阈值、Stein无偏似然估计阈值、混合型阈值、极大极小准则阈值等方法进行了信号增强处理,比较了不同阈值方法小波变换的处理效果.结果表明:小波变换方法能有效地提高超声B扫描图像质量,硬阈值条件下固定阈值小波变换方法的图像增强处理效果较好.
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| 关 键 词： | 面状缺陷 B扫描图像 小波变换 图像增强 面状缺陷 超声 扫描检测 图像增强处理 研究 defect planar image scan ultrasonic 阈值条件 图像质量 变换方法 结果 效果 小波变换 阈值方法 比较 缺陷信号 准则 |
| 修稿时间： | 2006-08-03 |
Enhancement of an ultrasonic B scan image of planar defect |
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| Gao Shuangsheng,Gang Tie,Guo Xiaoluo. Enhancement of an ultrasonic B scan image of planar defect[J]. Welding & Joining, 2007, 0(1): 21-24 |
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| Authors: | Gao Shuangsheng Gang Tie Guo Xiaoluo |
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| Abstract: | Aimed at that ultrasonic B scan image of planar defect was degraded because of contaminated by noise,the degraded image was en- hancement processed by using wavelet analysis.The wavelet transform characters of defect signal and noise were analyzed by means of Sqt- wolog,Stein Unbiased Risk Estimate,Heursure and Minimaxi methods in defect signal enhancement processing by using hard-thresholding and soft-thresholding function respectively.The results show that wavelet transform can effectively enhance the degraded image by using Sqtwolog under the condition of hard-thresholding function,and image can be obtained with better resolution. |
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| Keywords: | planar defect B scan image wavelet transform image enhancement |
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