Texture Detection of Aluminum Foil Based on Top-Hat Transformation and Connected Region Segmentation
A new method of texture detection for aluminum foil based on digital image processing technology is proposed. Top-hat transformation and image segmentation technology based on the connected domain are used to change the method of determining texture fraction by using human experience. Compared with...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Advances in Materials Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2020/2028407 |
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| _version_ | 1832567459978149888 |
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| author | Fei He Yuxing Hu Jian Wang |
| author_facet | Fei He Yuxing Hu Jian Wang |
| author_sort | Fei He |
| collection | DOAJ |
| description | A new method of texture detection for aluminum foil based on digital image processing technology is proposed. Top-hat transformation and image segmentation technology based on the connected domain are used to change the method of determining texture fraction by using human experience. Compared with the brightness method, pit detection method, and EBSD technology, this method can complete quantitative detection efficiently, automatically, and accurately, and reduce the detection time and manpower. It eliminates the instability of manual detection and ensures the accuracy of detection. By this method, the error of test results can be controlled within 1.6%, which is much better than 7.3% of the brightness method and 4% of the pitting method. It provides more accurate test results for the production process control of aluminum foil. |
| format | Article |
| id | doaj-art-8f1fe8b99cea46158233124eafd925a1 |
| institution | Kabale University |
| issn | 1687-8434 1687-8442 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Materials Science and Engineering |
| spelling | doaj-art-8f1fe8b99cea46158233124eafd925a12025-02-03T01:01:30ZengWileyAdvances in Materials Science and Engineering1687-84341687-84422020-01-01202010.1155/2020/20284072028407Texture Detection of Aluminum Foil Based on Top-Hat Transformation and Connected Region SegmentationFei He0Yuxing Hu1Jian Wang2Collaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, Beijing 100083, ChinaCollaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, Beijing 100083, ChinaCollaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, Beijing 100083, ChinaA new method of texture detection for aluminum foil based on digital image processing technology is proposed. Top-hat transformation and image segmentation technology based on the connected domain are used to change the method of determining texture fraction by using human experience. Compared with the brightness method, pit detection method, and EBSD technology, this method can complete quantitative detection efficiently, automatically, and accurately, and reduce the detection time and manpower. It eliminates the instability of manual detection and ensures the accuracy of detection. By this method, the error of test results can be controlled within 1.6%, which is much better than 7.3% of the brightness method and 4% of the pitting method. It provides more accurate test results for the production process control of aluminum foil.http://dx.doi.org/10.1155/2020/2028407 |
| spellingShingle | Fei He Yuxing Hu Jian Wang Texture Detection of Aluminum Foil Based on Top-Hat Transformation and Connected Region Segmentation Advances in Materials Science and Engineering |
| title | Texture Detection of Aluminum Foil Based on Top-Hat Transformation and Connected Region Segmentation |
| title_full | Texture Detection of Aluminum Foil Based on Top-Hat Transformation and Connected Region Segmentation |
| title_fullStr | Texture Detection of Aluminum Foil Based on Top-Hat Transformation and Connected Region Segmentation |
| title_full_unstemmed | Texture Detection of Aluminum Foil Based on Top-Hat Transformation and Connected Region Segmentation |
| title_short | Texture Detection of Aluminum Foil Based on Top-Hat Transformation and Connected Region Segmentation |
| title_sort | texture detection of aluminum foil based on top hat transformation and connected region segmentation |
| url | http://dx.doi.org/10.1155/2020/2028407 |
| work_keys_str_mv | AT feihe texturedetectionofaluminumfoilbasedontophattransformationandconnectedregionsegmentation AT yuxinghu texturedetectionofaluminumfoilbasedontophattransformationandconnectedregionsegmentation AT jianwang texturedetectionofaluminumfoilbasedontophattransformationandconnectedregionsegmentation |