| 蜂窝纸芯成形质量在线检测系统的开发 |
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| 引用本文： | 王梅,梁锦华. 蜂窝纸芯成形质量在线检测系统的开发[J]. 包装工程, 2013, 34(23): 88-91 |
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| 作者姓名： | 王梅 梁锦华 |
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| 作者单位： | 广东工业大学, 广州510006,广东工业大学, 广州510006 |
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| 摘 要： | 基于MATLAB 开发软件,对蜂窝纸板生产过程中蜂窝纸芯的成形质量进行了在线自动检测。将生产线上获得的蜂窝纸芯实际图像进行处理后,与标准模板图像进行比对运算,得出蜂窝纸芯的实际生产质量情况。比对算法的关键有2 个:在图像中寻找匹配目标;将实际图像与模板图像的匹配部分进行相似度计算。采用相关模板匹配的方法进行目标匹配,采用逐个像素点比较的方法进行相似度的比对计算,通过该算法可以高效快速地将实际图像与模板图像中提取的匹配部分进行运算,得到其相似度,获得产品的生产质量。
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| 关 键 词： | 蜂窝纸板 蜂窝纸芯 模式识别 在线检测 |
| 收稿时间： | 2013-09-17 |
| 修稿时间： | 2013-12-10 |
Development of Honeycomb Core Quality Online Detection System |
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| WANG Mei and LIANG Jin-hua. Development of Honeycomb Core Quality Online Detection System[J]. Packaging Engineering, 2013, 34(23): 88-91 |
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| Authors: | WANG Mei and LIANG Jin-hua |
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| Affiliation: | Guangdong University of Technology, Guangzhou 510006, China and Guangdong University of Technology, Guangzhou 510006, China |
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| Abstract: | An automatic online quality detection system of honeycomb core was developped based on the MATLAB software. The honeycomb paper core image obtained from the production line was processed and compared with standard template image using specific algorithm to collect the quality information of honeycomb paper core in practical production process. There are two keys in the comparing algorithm. One is to find the matched images, and the second is the similarity calculation between them. The system used a related template matching method to match the images and the pixelby-pixel comparison method for the similarity calculation, which can calculate the matching part quickly and efficiently. |
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| Keywords: | honeycomb paperboard honeycomb core pattern recognition online detection |
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