|
|||||
|
|
| 一种检测物体轮廓缺陷的方法探索 | |
| 引用本文： | 李亚强,张先叶. 一种检测物体轮廓缺陷的方法探索[J]. 价值工程, 2011, 30(26): 125-126 |
| 作者姓名： | 李亚强 张先叶 |
| 作者单位： | 1. 渭南职业技术学院,渭南,714000 2. 渭南师范学院数学与信息科学院,渭南,714000 |
| 摘 要： | 本文提出将二维物体的轮廓图像坐标信息转换成基于质心距离的一维向量信息来进行检测。设计了基于双正交对称小波的去噪算法。实验结果表明,这种算法可以有效地去除噪声信号和缓变信号,保留缺陷的突变信息,是一种有效和实用的轮廓缺陷检测算法。 |
| 关 键 词： | 小波变换 轮廓 缺陷检测 小波特性 分解层次 |
Research on Objects Contour Defect Detection Using the Imaging Wavelet Transforms |
|
| Li Yaqiang,Zhang Xianye. Research on Objects Contour Defect Detection Using the Imaging Wavelet Transforms[J]. Value Engineering, 2011, 30(26): 125-126 | |
| Authors: | Li Yaqiang Zhang Xianye |
| Affiliation: | ① Li Yaqiang;② Zhang Xianye(①Weinan Professional Technology Institute,Weinan 714000,China; ②Department of Mathematic and Information,Weinan Normal University,Weinan 714000,China) |
| Abstract: | The two-dimensional contour imaging coordinate information is transferred to one-dimensional vector of the centroid-based distance,which is proposed in the paper.The de-noising algorithm based on symmetric bi-orthogonal wavelet is designed.The experimental results show that the detecting result of this algorithm can effectively remove the noise signal and the gentle change signal with the deficient mutant information retained.It is an effective and practical contour defect detection algorithm. |
| Keywords: | wavelet transform profile defect detection wavelet features decomposition level |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |