| Curvelet结合图像方向离散度的DSPI无损检测缺陷边缘提取 |
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| 引用本文： | 李俊,雷云辉.Curvelet结合图像方向离散度的DSPI无损检测缺陷边缘提取[J].光学技术,2012,38(5):560-563. |
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| 作者姓名： | 李俊 雷云辉 |
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| 作者单位： | 李俊:四川理工学院 机械学院, 四川 自贡 643000
雷云辉:农业部沼气研究所 农业部农村可再生能源开发利用重点实验室, 成都 610041
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| 基金项目： | 四川省教育厅青年基金资助项目(10ZB100); 中国农业科学院基本科研业务费专项资助项目(2012ZL002); 四川理工学院基金项目(10710010095) |
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| 摘 要： | 边缘提取是DSPI无损检测缺陷自动识别的基础。根据人类视觉识别的特点,提出以Curvelet多尺度几何分析为基础进行缺陷图像的边缘提取,为了对DSPI检测过程中因光照不足等原因产生的伪缺陷进行分辨,基于矢量积定义了图像的方向离散度,并与Curvelet多尺度分析方法相结合,在橡胶复合材料DSPI无损检测中进行应用。
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| 关 键 词： | DSPI Curvelet 无损检测 边缘提取 |
| 收稿时间： | 2012/7/2 |
Curvelet combined orientation dispersion of image in defect edge detection of DSPI nondestructive testing |
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| LI Jun,LEI Yunhui.Curvelet combined orientation dispersion of image in defect edge detection of DSPI nondestructive testing[J].Optical Technique,2012,38(5):560-563. |
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| Authors: | LI Jun LEI Yunhui |
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| Institution: | 1.School of Mechanical Engineering,Sichuan University of Science & Engineering,Zigong 643000,China)(2.Biogas Institute of Ministry of Agriculture,Key Laboratory of Development and Application of Rural Renewable Energy,Ministry of Agriculture,Chengdu 610041,China) |
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| Abstract: | Edge detection is the basis of automatic recognition of flaws in DSPI nondestructive testing. According to the characteristics of the human visual recognition, the edge of defect is extracted based on the Curvelet multiscale geometric analysis. In order to distinguish the pseudo-flaw caused by insufficient light during DSPI testing, the orientation dispersion of image is defined based on vector product. In the end, the orientation dispersion of image combined with Curvelet is used in DSPI non-destructive testing of rubber composite. |
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| Keywords: | DSPI Curvelet nondestructive testing edge detection |
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