Sobel Edge Detection Based on Weighted Nuclear Norm Minimization Image Denoising
As a classic and effective edge detection operator, the Sobel operator has been widely used in image segmentation and other image processing technologies. This operator has obvious advantages in the speed of extracting the edge of images, but it also has the disadvantage that the detection effect is...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-03-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/10/6/655 |
| _version_ | 1797541781743599616 |
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| author | Run Tian Guiling Sun Xiaochao Liu Bowen Zheng |
| author_facet | Run Tian Guiling Sun Xiaochao Liu Bowen Zheng |
| author_sort | Run Tian |
| collection | DOAJ |
| description | As a classic and effective edge detection operator, the Sobel operator has been widely used in image segmentation and other image processing technologies. This operator has obvious advantages in the speed of extracting the edge of images, but it also has the disadvantage that the detection effect is not ideal when the image contains noise. In order to solve this problem, this paper proposes an optimized scheme for edge detection. In this scheme, the weighted nuclear norm minimization (WNNM) image denoising algorithm is combined with the Sobel edge detection algorithm, and the excellent denoising performance of the WNNM algorithm in a noise environment is utilized to improve the anti-noise performance of the Sobel operator. The experimental results show that the optimization algorithm can obtain better detection results when processing noisy images, and the advantages of the algorithm become more obvious with the increase of noise intensity. |
| first_indexed | 2024-03-10T13:20:36Z |
| format | Article |
| id | doaj.art-bac768d97ce94e348827504debc126dc |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T13:20:36Z |
| publishDate | 2021-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-bac768d97ce94e348827504debc126dc2023-11-21T10:03:38ZengMDPI AGElectronics2079-92922021-03-0110665510.3390/electronics10060655Sobel Edge Detection Based on Weighted Nuclear Norm Minimization Image DenoisingRun Tian0Guiling Sun1Xiaochao Liu2Bowen Zheng3College of Electronic Information and Optical Engineering, Nankai University, Tianjin 300350, ChinaCollege of Electronic Information and Optical Engineering, Nankai University, Tianjin 300350, ChinaCollege of Electronic Information and Optical Engineering, Nankai University, Tianjin 300350, ChinaCollege of Electronic Information and Optical Engineering, Nankai University, Tianjin 300350, ChinaAs a classic and effective edge detection operator, the Sobel operator has been widely used in image segmentation and other image processing technologies. This operator has obvious advantages in the speed of extracting the edge of images, but it also has the disadvantage that the detection effect is not ideal when the image contains noise. In order to solve this problem, this paper proposes an optimized scheme for edge detection. In this scheme, the weighted nuclear norm minimization (WNNM) image denoising algorithm is combined with the Sobel edge detection algorithm, and the excellent denoising performance of the WNNM algorithm in a noise environment is utilized to improve the anti-noise performance of the Sobel operator. The experimental results show that the optimization algorithm can obtain better detection results when processing noisy images, and the advantages of the algorithm become more obvious with the increase of noise intensity.https://www.mdpi.com/2079-9292/10/6/655Sobel operatorweighted nuclear norm minimizationimage denoisingedge detection |
| spellingShingle | Run Tian Guiling Sun Xiaochao Liu Bowen Zheng Sobel Edge Detection Based on Weighted Nuclear Norm Minimization Image Denoising Electronics Sobel operator weighted nuclear norm minimization image denoising edge detection |
| title | Sobel Edge Detection Based on Weighted Nuclear Norm Minimization Image Denoising |
| title_full | Sobel Edge Detection Based on Weighted Nuclear Norm Minimization Image Denoising |
| title_fullStr | Sobel Edge Detection Based on Weighted Nuclear Norm Minimization Image Denoising |
| title_full_unstemmed | Sobel Edge Detection Based on Weighted Nuclear Norm Minimization Image Denoising |
| title_short | Sobel Edge Detection Based on Weighted Nuclear Norm Minimization Image Denoising |
| title_sort | sobel edge detection based on weighted nuclear norm minimization image denoising |
| topic | Sobel operator weighted nuclear norm minimization image denoising edge detection |
| url | https://www.mdpi.com/2079-9292/10/6/655 |
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