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| A Porosity Calculation Method for SEM Image of Paper Based on Threshold Regression |
| Received:December 26, 2019 |
| DOI：10.11980/j.issn.0254-508X.2020.05.008 |
| Key Words:regression model paper porosity image processing SEM image |
| Fund Project:2019年度省基础与应用基础研究基金联合基金项目-青年基金项目（2019A1515110667）；2017年广东省教育厅重点平台及科研项目-青年创新人才类项目(自然科学)（2017GkQNCX115）；国家自然科学基金(31701517)；北京市社会科学基金(17GLC060)；“十三五”时期北京市属高校高水平教师队伍建设支持计划-青年拔尖人才培育计划项目(CIT&TCD201704039)。 |
| Author Name | Affiliation | Postcode | | XUE Meigui | Media Communication Department, Dongguan Polytechnic, Dongguan, Guangdong Province, 523808 | 523808 | | CHEN Hongqian | School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, 100048
Beijing Key Lab of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, 100048 | 100048 | | LI Hui | College of Management, Beijing Union University, Beijing, 100101 | 100101 | | WEI Hua | Media Communication Department, Dongguan Polytechnic, Dongguan, Guangdong Province, 523808 | 523808 | | LI Wei | Media Communication Department, Dongguan Polytechnic, Dongguan, Guangdong Province, 523808 | 523808 |
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| Abstract:To improve the accuracy and adaptability of paper porosity calculation method based on scanning electron microscope (SEM) image processing, a method for calculating porosity of paper images based on threshold regression was proposed. The method firstly carried out physical testing and image processing simultaneously for a small number of paper samples，and combined the data from physical testing and image processing to train the threshold regression model and obtain the model parameters. Then, the optimal threshold of image segmentation was obtained through regression model and applied to the calculation process of paper porosity for uncoated paper samples based on its SEM images. The verification experiments showed that this method could objectify the selection process of segmentation threshold in the image processing process. The objectified segmentation threshold could effectively reduce the result error and make the method have higher adaptability in various types of paper. |
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