CN110389154A - 基于红外热成像的指数熵加性模糊缺陷特征分析重构方法 - Google Patents
基于红外热成像的指数熵加性模糊缺陷特征分析重构方法 Download PDFInfo
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- CN110389154A CN110389154A CN201910433939.XA CN201910433939A CN110389154A CN 110389154 A CN110389154 A CN 110389154A CN 201910433939 A CN201910433939 A CN 201910433939A CN 110389154 A CN110389154 A CN 110389154A
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Citations (6)
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---|---|---|---|---|
US20090136121A1 (en) * | 2007-11-14 | 2009-05-28 | Ryo Nakagaki | Defect review method and apparatus |
CN105447857A (zh) * | 2015-11-17 | 2016-03-30 | 电子科技大学 | 脉冲涡流红外热图像的特征提取方法 |
CN107194920A (zh) * | 2017-05-19 | 2017-09-22 | 山东财经大学 | 一种基于奇异值分解的轮胎缺陷检测方法 |
CN108446711A (zh) * | 2018-02-01 | 2018-08-24 | 南京邮电大学 | 一种基于迁移学习的软件缺陷预测方法 |
CN108665458A (zh) * | 2018-05-17 | 2018-10-16 | 杭州智谷精工有限公司 | 透明体表面缺陷提取及识别方法 |
CN108931572A (zh) * | 2018-05-29 | 2018-12-04 | 电子科技大学 | 基于变行分割和区域生长法的压容器热成像缺陷检测方法 |
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Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20090136121A1 (en) * | 2007-11-14 | 2009-05-28 | Ryo Nakagaki | Defect review method and apparatus |
CN105447857A (zh) * | 2015-11-17 | 2016-03-30 | 电子科技大学 | 脉冲涡流红外热图像的特征提取方法 |
CN107194920A (zh) * | 2017-05-19 | 2017-09-22 | 山东财经大学 | 一种基于奇异值分解的轮胎缺陷检测方法 |
CN108446711A (zh) * | 2018-02-01 | 2018-08-24 | 南京邮电大学 | 一种基于迁移学习的软件缺陷预测方法 |
CN108665458A (zh) * | 2018-05-17 | 2018-10-16 | 杭州智谷精工有限公司 | 透明体表面缺陷提取及识别方法 |
CN108931572A (zh) * | 2018-05-29 | 2018-12-04 | 电子科技大学 | 基于变行分割和区域生长法的压容器热成像缺陷检测方法 |
Non-Patent Citations (1)
Title |
---|
马浩鹏 等: "基于深度学习的乳液泵缺陷检测算法", 《液晶与显示》 * |
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