| 基于小波变换的射线图像疵病特征提取方法 |
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| 引用本文： | 仲颖,韩焱,王明泉. 基于小波变换的射线图像疵病特征提取方法[J]. 测试技术学报, 2002, 16(4): 270-272 |
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| 作者姓名： | 仲颖 韩焱 王明泉 |
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| 作者单位： | 华北工学院,电子信息工程系,山西,太原,030051 |
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| 摘 要： | 本文讨论了小波变换在射线图像疵病特征提取中的应用，通过各尺度图对应不同频段的特性来识别信号的趋势项，并且利用有效信号和噪声在小波变换下的不同规律进行信噪分离，最终达到特征提取的目的，实验表明上述方法具有良好的特征信息提取效果。
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| 关 键 词： | 射线图像 疵病 小波变换 趋势项 降噪 特征提取 |
| 文章编号： | 1671-7449(2002)04-0270-03 |
| 修稿时间： | 2002-09-20 |
The Feature Extraction of Radial Image Method Based on Wavelet Transform |
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| ZHONG Ying,HAN Yan,WANG Ming quan. The Feature Extraction of Radial Image Method Based on Wavelet Transform[J]. Journal of Test and Measurement Techol, 2002, 16(4): 270-272 |
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| Authors: | ZHONG Ying HAN Yan WANG Ming quan |
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| Abstract: | The application of wavelet transform in feature extraction of the ogram flaw has been discussed. The trend term is distinguished from signal with the speciality of each scale corresponding to different frequency. The noise is separated from signal with the different rule of effective signal and noise. The purpose of feature extraction has been accomplished. The result of experiments proves that the mentioned method has better feature extraction effect. |
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| Keywords: | wavelet transform multiresolution decompositions trend term noise reduction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
