Corrosion defect segmentation method based on superpixel feature cascade
To solve the segmentation problem caused by the small number of feature points and the change of image brightness on the surface of the storage tank, a corrosion defect segmentation method based on the superpixel feature cascade is proposed in this paper. First, the image is segmented to generate su...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-02-01
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| Series: | Ain Shams Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2090447923003143 |
| _version_ | 1797299680836583424 |
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| author | Lingyu Sun Yang Li Xinbao Li Chengyan Liu |
| author_facet | Lingyu Sun Yang Li Xinbao Li Chengyan Liu |
| author_sort | Lingyu Sun |
| collection | DOAJ |
| description | To solve the segmentation problem caused by the small number of feature points and the change of image brightness on the surface of the storage tank, a corrosion defect segmentation method based on the superpixel feature cascade is proposed in this paper. First, the image is segmented to generate superpixels and color and texture features are extracted in the superpixel region and concatenated with domain superpixel features to form superpixel level context features; Then, a plurality of superpixels are labeled according to the pixel range of corrosion defects and the labeling results are obtained; Then, the relationship between superpixels is modeled by the full connection CRF model to optimize the classification results; Finally, the classification result of the input image is refined to generate a segmented image. The effectiveness of the segmentation method is verified and analyzed by designing comparative experiments. |
| first_indexed | 2024-03-07T22:54:11Z |
| format | Article |
| id | doaj.art-4cd9571105e84747976b60c23d02d0ad |
| institution | Directory Open Access Journal |
| issn | 2090-4479 |
| language | English |
| last_indexed | 2024-03-07T22:54:11Z |
| publishDate | 2024-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ain Shams Engineering Journal |
| spelling | doaj.art-4cd9571105e84747976b60c23d02d0ad2024-02-23T04:59:38ZengElsevierAin Shams Engineering Journal2090-44792024-02-01152102425Corrosion defect segmentation method based on superpixel feature cascadeLingyu Sun0Yang Li1Xinbao Li2Chengyan Liu3School of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, ChinaSchool of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, ChinaJinan Fodi Battery Co., LTD., Jinan 250000, China; Corresponding author.Tianjin Institute of Advanced Technology, Tianjin 300130, ChinaTo solve the segmentation problem caused by the small number of feature points and the change of image brightness on the surface of the storage tank, a corrosion defect segmentation method based on the superpixel feature cascade is proposed in this paper. First, the image is segmented to generate superpixels and color and texture features are extracted in the superpixel region and concatenated with domain superpixel features to form superpixel level context features; Then, a plurality of superpixels are labeled according to the pixel range of corrosion defects and the labeling results are obtained; Then, the relationship between superpixels is modeled by the full connection CRF model to optimize the classification results; Finally, the classification result of the input image is refined to generate a segmented image. The effectiveness of the segmentation method is verified and analyzed by designing comparative experiments.http://www.sciencedirect.com/science/article/pii/S2090447923003143Rust detectionSuperpixel feature cascadeSVMFully connected CRF |
| spellingShingle | Lingyu Sun Yang Li Xinbao Li Chengyan Liu Corrosion defect segmentation method based on superpixel feature cascade Ain Shams Engineering Journal Rust detection Superpixel feature cascade SVM Fully connected CRF |
| title | Corrosion defect segmentation method based on superpixel feature cascade |
| title_full | Corrosion defect segmentation method based on superpixel feature cascade |
| title_fullStr | Corrosion defect segmentation method based on superpixel feature cascade |
| title_full_unstemmed | Corrosion defect segmentation method based on superpixel feature cascade |
| title_short | Corrosion defect segmentation method based on superpixel feature cascade |
| title_sort | corrosion defect segmentation method based on superpixel feature cascade |
| topic | Rust detection Superpixel feature cascade SVM Fully connected CRF |
| url | http://www.sciencedirect.com/science/article/pii/S2090447923003143 |
| work_keys_str_mv | AT lingyusun corrosiondefectsegmentationmethodbasedonsuperpixelfeaturecascade AT yangli corrosiondefectsegmentationmethodbasedonsuperpixelfeaturecascade AT xinbaoli corrosiondefectsegmentationmethodbasedonsuperpixelfeaturecascade AT chengyanliu corrosiondefectsegmentationmethodbasedonsuperpixelfeaturecascade |