Research on a multi-dimensional image information fusion algorithm based on NSCT transform
Abstract Traditional inspection cameras determine targets and detect defects by capturing images of their light intensity, but in complex environments, the accuracy of inspection may decrease. Information based on polarization of light can characterize various features of a material, such as the rou...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Springer & Higher Education Press
2024-01-01
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| Series: | Frontiers of Optoelectronics |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s12200-023-00104-0 |
| _version_ | 1827109377146880000 |
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| author | Yuxiang Su Xi Liang Danhua Cao Zhenyu Yang Yuanlong Peng Ming Zhao |
| author_facet | Yuxiang Su Xi Liang Danhua Cao Zhenyu Yang Yuanlong Peng Ming Zhao |
| author_sort | Yuxiang Su |
| collection | DOAJ |
| description | Abstract Traditional inspection cameras determine targets and detect defects by capturing images of their light intensity, but in complex environments, the accuracy of inspection may decrease. Information based on polarization of light can characterize various features of a material, such as the roughness, texture, and refractive index, thus improving classification and recognition of targets. This paper uses a method based on noise template threshold matching to denoise and preprocess polarized images. It also reports on design of an image fusion algorithm, based on NSCT transform, to fuse light intensity images and polarized images. The results show that the fused image improves both subjective and objective evaluation indicators, relative to the source image, and can better preserve edge information and help to improve the accuracy of target recognition. This study provides a reference for the comprehensive application of multi-dimensional optical information in power inspection. Graphical Abstract |
| first_indexed | 2024-03-08T10:01:19Z |
| format | Article |
| id | doaj.art-ec3fe9201e604858a2f8bc28b075f85d |
| institution | Directory Open Access Journal |
| issn | 2095-2767 |
| language | English |
| last_indexed | 2025-03-20T10:41:26Z |
| publishDate | 2024-01-01 |
| publisher | Springer & Higher Education Press |
| record_format | Article |
| series | Frontiers of Optoelectronics |
| spelling | doaj.art-ec3fe9201e604858a2f8bc28b075f85d2024-09-22T11:07:09ZengSpringer & Higher Education PressFrontiers of Optoelectronics2095-27672024-01-0117111610.1007/s12200-023-00104-0Research on a multi-dimensional image information fusion algorithm based on NSCT transformYuxiang Su0Xi Liang1Danhua Cao2Zhenyu Yang3Yuanlong Peng4Ming Zhao5School of Optical and Electronic Information, Huazhong University of Science and TechnologySchool of Optical and Electronic Information, Huazhong University of Science and TechnologySchool of Optical and Electronic Information, Huazhong University of Science and TechnologySchool of Optical and Electronic Information, Huazhong University of Science and TechnologyState Grid Information and Telecommunication BranchSchool of Optical and Electronic Information, Huazhong University of Science and TechnologyAbstract Traditional inspection cameras determine targets and detect defects by capturing images of their light intensity, but in complex environments, the accuracy of inspection may decrease. Information based on polarization of light can characterize various features of a material, such as the roughness, texture, and refractive index, thus improving classification and recognition of targets. This paper uses a method based on noise template threshold matching to denoise and preprocess polarized images. It also reports on design of an image fusion algorithm, based on NSCT transform, to fuse light intensity images and polarized images. The results show that the fused image improves both subjective and objective evaluation indicators, relative to the source image, and can better preserve edge information and help to improve the accuracy of target recognition. This study provides a reference for the comprehensive application of multi-dimensional optical information in power inspection. Graphical Abstracthttps://doi.org/10.1007/s12200-023-00104-0Power inspectionObject detectionPolarization imagingImage fusionImage denoising |
| spellingShingle | Yuxiang Su Xi Liang Danhua Cao Zhenyu Yang Yuanlong Peng Ming Zhao Research on a multi-dimensional image information fusion algorithm based on NSCT transform Frontiers of Optoelectronics Power inspection Object detection Polarization imaging Image fusion Image denoising |
| title | Research on a multi-dimensional image information fusion algorithm based on NSCT transform |
| title_full | Research on a multi-dimensional image information fusion algorithm based on NSCT transform |
| title_fullStr | Research on a multi-dimensional image information fusion algorithm based on NSCT transform |
| title_full_unstemmed | Research on a multi-dimensional image information fusion algorithm based on NSCT transform |
| title_short | Research on a multi-dimensional image information fusion algorithm based on NSCT transform |
| title_sort | research on a multi dimensional image information fusion algorithm based on nsct transform |
| topic | Power inspection Object detection Polarization imaging Image fusion Image denoising |
| url | https://doi.org/10.1007/s12200-023-00104-0 |
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