Rapid Extraction of Clothing Sample Profile Based on the Improved Canny Algorithm
In order to reduce the difficulty of clothing diversity on the edge extraction link, this study proposes an improved Canny algorithm that segments the pattern, styles, and contours of the clothing image after creating a sample library of a women’s image. Extract, improve the accuracy of the edge, an...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2022/7554652 |
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| _version_ | 1849306952922824704 |
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| author | Na Liu Yanyan Ma Linyi Shao Hao Wang |
| author_facet | Na Liu Yanyan Ma Linyi Shao Hao Wang |
| author_sort | Na Liu |
| collection | DOAJ |
| description | In order to reduce the difficulty of clothing diversity on the edge extraction link, this study proposes an improved Canny algorithm that segments the pattern, styles, and contours of the clothing image after creating a sample library of a women’s image. Extract, improve the accuracy of the edge, and reduce the noise formed by texture and clothing. The results show that in the simulation experiment, the contour extraction of multiple categories of clothing is carried out, and compared with the differential operator algorithm and Canny algorithm, the experimental results show that the improved algorithm can more accurately segment the edge of clothing, extract the style contour, and express the characteristics of clothing. |
| format | Article |
| id | doaj-art-2bb2cacb1f3d415faf35ed9e5c46a340 |
| institution | Kabale University |
| issn | 1687-5699 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-2bb2cacb1f3d415faf35ed9e5c46a3402025-08-20T03:54:56ZengWileyAdvances in Multimedia1687-56992022-01-01202210.1155/2022/7554652Rapid Extraction of Clothing Sample Profile Based on the Improved Canny AlgorithmNa Liu0Yanyan Ma1Linyi Shao2Hao Wang3College of Textile Engineering and ArtCollege of Life SciencesCollege of Textile Engineering and ArtCollege of Textile Engineering and ArtIn order to reduce the difficulty of clothing diversity on the edge extraction link, this study proposes an improved Canny algorithm that segments the pattern, styles, and contours of the clothing image after creating a sample library of a women’s image. Extract, improve the accuracy of the edge, and reduce the noise formed by texture and clothing. The results show that in the simulation experiment, the contour extraction of multiple categories of clothing is carried out, and compared with the differential operator algorithm and Canny algorithm, the experimental results show that the improved algorithm can more accurately segment the edge of clothing, extract the style contour, and express the characteristics of clothing.http://dx.doi.org/10.1155/2022/7554652 |
| spellingShingle | Na Liu Yanyan Ma Linyi Shao Hao Wang Rapid Extraction of Clothing Sample Profile Based on the Improved Canny Algorithm Advances in Multimedia |
| title | Rapid Extraction of Clothing Sample Profile Based on the Improved Canny Algorithm |
| title_full | Rapid Extraction of Clothing Sample Profile Based on the Improved Canny Algorithm |
| title_fullStr | Rapid Extraction of Clothing Sample Profile Based on the Improved Canny Algorithm |
| title_full_unstemmed | Rapid Extraction of Clothing Sample Profile Based on the Improved Canny Algorithm |
| title_short | Rapid Extraction of Clothing Sample Profile Based on the Improved Canny Algorithm |
| title_sort | rapid extraction of clothing sample profile based on the improved canny algorithm |
| url | http://dx.doi.org/10.1155/2022/7554652 |
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