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| Study of the Real-time Acquisition and Transmission of Paper Disease Image Based on Compressed Sensing |
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| DOI：10.11981/j.issn.1000-6842.2015.03.51 |
| Key Words:compressed sensing； paper disease image； data real-time acquisition and transmission |
| Fund Project:陕西省科技统筹创新工程计划项目(2012KTCQ01-19)；陕西省科技攻关项目(2011K06-06)；西安市未央区科技计划项目201304。 |
| Author Name | Affiliation | | 周 强1 | 1.陕西科技大学电气与信息工程学院, 陕西西安，710021 | | 王志强1，* | 1.陕西科技大学电气与信息工程学院, 陕西西安，710021 | | 杨贵琳1 | 1.陕西科技大学电气与信息工程学院, 陕西西安，710021 | | 李清华2 | 2.西安西翰电力科技有限公司，陕西西安，710065 |
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| Abstract: |
| With the increase of machine’s speed and paper width in the paper industry, the amount of image data acquisition and transmission is larger, the poor real-time of on-line detection has been a bottleneck in the paper disease detection. Based on sparsity of the signal, compressed sensing can realize the compression of the data while the data are collecting, and significantly reduce the data amount in the transmission. Combining with the characteristics of paper disease images, this paper determined the measurement matrix based on the study of the sparsity, and obtained reconstruction algorithm on PC. Through the simulation experiment, the impact of different sparse matrix and different sampling rate on the quality of the disease image reconstruction was verified. The result showed that, using this technology, data transmission amount reduced 60%～70% and the quality of the reconstructed image was good, this could improve the speed of paper disease detection to a certain extent． |
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