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| Paper Defect Detection Based on Band Enhancement and Pixel Energy |
| Received:December 30, 2021 |
| DOI：10.11980/j.issn.0254-508X.2022.04.013 |
| Key Words:band enhancement pixel direction energy paper defect |
| Fund Project:河南省高等学校重点科研项目（20B510011）。 |
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| Abstract:In order to improve the effect of paper defect detection， band enhancement and pixel energy algorithm are adopted. Firstly， the color paper was divided into different bands using Non-subsampled Contourlet Transform， and different enhancement methods were adopted for low-frequency sub-bands and high-frequency sub-bands. Secondly， the relationship between the texture detection window of color paper and the autocorrelation function in longitude and latitude direction was established， low-frequency band needed a large detection window to obtain the image contour， and the high-frequency band needed a small detection window to obtain the image detail information. Thirdly， paper defect was obtained by the energy anomaly of texture pixels in horizontal component， vertical component， and diagonal component， and the mean square value of the maximum value of each direction component was used as the segmentation threshold of paper defect. Finally， the algorithm process was given. The results showed that the algorithm could clearly detect paper defects on the surface of colored paper， and the evaluation index of the accuracy of mixed paper defect detection was higher than other algorithms. |
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