Study on inspection method of glass defect based on phase image processing
To solve the problem in projecting grating method, the paper presents an inspection method based on phase image processing for glass defects. In the proposed method, the wrapped phase difference is achieved according to the images of defect-free and defect-containing. The unwrapping phase algorithm,...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Jin, Yong [verfasserIn] |
|---|
| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2014transfer abstract |
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| Schlagwörter: |
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| Umfang: |
4 |
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| Übergeordnetes Werk: |
Enthalten in: Tracking variation of fluorescent dissolved organic matter during full-scale printing and dyeing wastewater treatment - Cheng, Cheng ELSEVIER, 2020, international journal for light and electron optics : official journal of the German Society of Applied Optics and the German Society of Electron Microscopy, München |
|---|---|
| Übergeordnetes Werk: |
volume:125 ; year:2014 ; number:19 ; pages:5846-5849 ; extent:4 |
| Links: |
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| DOI / URN: |
10.1016/j.ijleo.2014.07.021 |
|---|
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ELV018095569 |
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| 520 | |a To solve the problem in projecting grating method, the paper presents an inspection method based on phase image processing for glass defects. In the proposed method, the wrapped phase difference is achieved according to the images of defect-free and defect-containing. The unwrapping phase algorithm, based on jump corrected is used to eliminate jump error. The segmentation of defect region is implemented by integrating grayscale mathematical morphology with high-low threshold segmentation, and the boundary coordinate of connected region is used to calculate the size and location of defect. The results demonstrate that the proposed method provides reliable identification of defects. | ||
| 520 | |a To solve the problem in projecting grating method, the paper presents an inspection method based on phase image processing for glass defects. In the proposed method, the wrapped phase difference is achieved according to the images of defect-free and defect-containing. The unwrapping phase algorithm, based on jump corrected is used to eliminate jump error. The segmentation of defect region is implemented by integrating grayscale mathematical morphology with high-low threshold segmentation, and the boundary coordinate of connected region is used to calculate the size and location of defect. The results demonstrate that the proposed method provides reliable identification of defects. | ||
| 650 | 7 | |a Defect region segmentation |2 Elsevier | |
| 650 | 7 | |a Phase unwrapping |2 Elsevier | |
| 650 | 7 | |a Glass defect inspection |2 Elsevier | |
| 650 | 7 | |a Wrapped phase difference image |2 Elsevier | |
| 700 | 1 | |a Wang, Zhaoba |4 oth | |
| 700 | 1 | |a Chen, Yu |4 oth | |
| 700 | 1 | |a Kong, Xiaoli |4 oth | |
| 700 | 1 | |a Wang, Limei |4 oth | |
| 700 | 1 | |a Qiao, Weizhe |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier |a Cheng, Cheng ELSEVIER |t Tracking variation of fluorescent dissolved organic matter during full-scale printing and dyeing wastewater treatment |d 2020 |d international journal for light and electron optics : official journal of the German Society of Applied Optics and the German Society of Electron Microscopy |g München |w (DE-627)ELV004102533 |
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10.1016/j.ijleo.2014.07.021 doi GBVA2014023000004.pica (DE-627)ELV018095569 (ELSEVIER)S0030-4026(14)00762-1 DE-627 ger DE-627 rakwb eng 620 620 DE-600 333.7 VZ 43.00 bkl Jin, Yong verfasserin aut Study on inspection method of glass defect based on phase image processing 2014transfer abstract 4 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier To solve the problem in projecting grating method, the paper presents an inspection method based on phase image processing for glass defects. In the proposed method, the wrapped phase difference is achieved according to the images of defect-free and defect-containing. The unwrapping phase algorithm, based on jump corrected is used to eliminate jump error. The segmentation of defect region is implemented by integrating grayscale mathematical morphology with high-low threshold segmentation, and the boundary coordinate of connected region is used to calculate the size and location of defect. The results demonstrate that the proposed method provides reliable identification of defects. To solve the problem in projecting grating method, the paper presents an inspection method based on phase image processing for glass defects. In the proposed method, the wrapped phase difference is achieved according to the images of defect-free and defect-containing. The unwrapping phase algorithm, based on jump corrected is used to eliminate jump error. The segmentation of defect region is implemented by integrating grayscale mathematical morphology with high-low threshold segmentation, and the boundary coordinate of connected region is used to calculate the size and location of defect. The results demonstrate that the proposed method provides reliable identification of defects. Defect region segmentation Elsevier Phase unwrapping Elsevier Glass defect inspection Elsevier Wrapped phase difference image Elsevier Wang, Zhaoba oth Chen, Yu oth Kong, Xiaoli oth Wang, Limei oth Qiao, Weizhe oth Enthalten in Elsevier Cheng, Cheng ELSEVIER Tracking variation of fluorescent dissolved organic matter during full-scale printing and dyeing wastewater treatment 2020 international journal for light and electron optics : official journal of the German Society of Applied Optics and the German Society of Electron Microscopy München (DE-627)ELV004102533 volume:125 year:2014 number:19 pages:5846-5849 extent:4 https://doi.org/10.1016/j.ijleo.2014.07.021 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 43.00 Umweltforschung Umweltschutz: Allgemeines VZ AR 125 2014 19 5846-5849 4 045F 620 |
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10.1016/j.ijleo.2014.07.021 doi GBVA2014023000004.pica (DE-627)ELV018095569 (ELSEVIER)S0030-4026(14)00762-1 DE-627 ger DE-627 rakwb eng 620 620 DE-600 333.7 VZ 43.00 bkl Jin, Yong verfasserin aut Study on inspection method of glass defect based on phase image processing 2014transfer abstract 4 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier To solve the problem in projecting grating method, the paper presents an inspection method based on phase image processing for glass defects. In the proposed method, the wrapped phase difference is achieved according to the images of defect-free and defect-containing. The unwrapping phase algorithm, based on jump corrected is used to eliminate jump error. The segmentation of defect region is implemented by integrating grayscale mathematical morphology with high-low threshold segmentation, and the boundary coordinate of connected region is used to calculate the size and location of defect. The results demonstrate that the proposed method provides reliable identification of defects. To solve the problem in projecting grating method, the paper presents an inspection method based on phase image processing for glass defects. In the proposed method, the wrapped phase difference is achieved according to the images of defect-free and defect-containing. The unwrapping phase algorithm, based on jump corrected is used to eliminate jump error. The segmentation of defect region is implemented by integrating grayscale mathematical morphology with high-low threshold segmentation, and the boundary coordinate of connected region is used to calculate the size and location of defect. The results demonstrate that the proposed method provides reliable identification of defects. Defect region segmentation Elsevier Phase unwrapping Elsevier Glass defect inspection Elsevier Wrapped phase difference image Elsevier Wang, Zhaoba oth Chen, Yu oth Kong, Xiaoli oth Wang, Limei oth Qiao, Weizhe oth Enthalten in Elsevier Cheng, Cheng ELSEVIER Tracking variation of fluorescent dissolved organic matter during full-scale printing and dyeing wastewater treatment 2020 international journal for light and electron optics : official journal of the German Society of Applied Optics and the German Society of Electron Microscopy München (DE-627)ELV004102533 volume:125 year:2014 number:19 pages:5846-5849 extent:4 https://doi.org/10.1016/j.ijleo.2014.07.021 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 43.00 Umweltforschung Umweltschutz: Allgemeines VZ AR 125 2014 19 5846-5849 4 045F 620 |
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10.1016/j.ijleo.2014.07.021 doi GBVA2014023000004.pica (DE-627)ELV018095569 (ELSEVIER)S0030-4026(14)00762-1 DE-627 ger DE-627 rakwb eng 620 620 DE-600 333.7 VZ 43.00 bkl Jin, Yong verfasserin aut Study on inspection method of glass defect based on phase image processing 2014transfer abstract 4 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier To solve the problem in projecting grating method, the paper presents an inspection method based on phase image processing for glass defects. In the proposed method, the wrapped phase difference is achieved according to the images of defect-free and defect-containing. The unwrapping phase algorithm, based on jump corrected is used to eliminate jump error. The segmentation of defect region is implemented by integrating grayscale mathematical morphology with high-low threshold segmentation, and the boundary coordinate of connected region is used to calculate the size and location of defect. The results demonstrate that the proposed method provides reliable identification of defects. To solve the problem in projecting grating method, the paper presents an inspection method based on phase image processing for glass defects. In the proposed method, the wrapped phase difference is achieved according to the images of defect-free and defect-containing. The unwrapping phase algorithm, based on jump corrected is used to eliminate jump error. The segmentation of defect region is implemented by integrating grayscale mathematical morphology with high-low threshold segmentation, and the boundary coordinate of connected region is used to calculate the size and location of defect. The results demonstrate that the proposed method provides reliable identification of defects. Defect region segmentation Elsevier Phase unwrapping Elsevier Glass defect inspection Elsevier Wrapped phase difference image Elsevier Wang, Zhaoba oth Chen, Yu oth Kong, Xiaoli oth Wang, Limei oth Qiao, Weizhe oth Enthalten in Elsevier Cheng, Cheng ELSEVIER Tracking variation of fluorescent dissolved organic matter during full-scale printing and dyeing wastewater treatment 2020 international journal for light and electron optics : official journal of the German Society of Applied Optics and the German Society of Electron Microscopy München (DE-627)ELV004102533 volume:125 year:2014 number:19 pages:5846-5849 extent:4 https://doi.org/10.1016/j.ijleo.2014.07.021 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 43.00 Umweltforschung Umweltschutz: Allgemeines VZ AR 125 2014 19 5846-5849 4 045F 620 |
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10.1016/j.ijleo.2014.07.021 doi GBVA2014023000004.pica (DE-627)ELV018095569 (ELSEVIER)S0030-4026(14)00762-1 DE-627 ger DE-627 rakwb eng 620 620 DE-600 333.7 VZ 43.00 bkl Jin, Yong verfasserin aut Study on inspection method of glass defect based on phase image processing 2014transfer abstract 4 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier To solve the problem in projecting grating method, the paper presents an inspection method based on phase image processing for glass defects. In the proposed method, the wrapped phase difference is achieved according to the images of defect-free and defect-containing. The unwrapping phase algorithm, based on jump corrected is used to eliminate jump error. The segmentation of defect region is implemented by integrating grayscale mathematical morphology with high-low threshold segmentation, and the boundary coordinate of connected region is used to calculate the size and location of defect. The results demonstrate that the proposed method provides reliable identification of defects. To solve the problem in projecting grating method, the paper presents an inspection method based on phase image processing for glass defects. In the proposed method, the wrapped phase difference is achieved according to the images of defect-free and defect-containing. The unwrapping phase algorithm, based on jump corrected is used to eliminate jump error. The segmentation of defect region is implemented by integrating grayscale mathematical morphology with high-low threshold segmentation, and the boundary coordinate of connected region is used to calculate the size and location of defect. The results demonstrate that the proposed method provides reliable identification of defects. Defect region segmentation Elsevier Phase unwrapping Elsevier Glass defect inspection Elsevier Wrapped phase difference image Elsevier Wang, Zhaoba oth Chen, Yu oth Kong, Xiaoli oth Wang, Limei oth Qiao, Weizhe oth Enthalten in Elsevier Cheng, Cheng ELSEVIER Tracking variation of fluorescent dissolved organic matter during full-scale printing and dyeing wastewater treatment 2020 international journal for light and electron optics : official journal of the German Society of Applied Optics and the German Society of Electron Microscopy München (DE-627)ELV004102533 volume:125 year:2014 number:19 pages:5846-5849 extent:4 https://doi.org/10.1016/j.ijleo.2014.07.021 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 43.00 Umweltforschung Umweltschutz: Allgemeines VZ AR 125 2014 19 5846-5849 4 045F 620 |
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10.1016/j.ijleo.2014.07.021 doi GBVA2014023000004.pica (DE-627)ELV018095569 (ELSEVIER)S0030-4026(14)00762-1 DE-627 ger DE-627 rakwb eng 620 620 DE-600 333.7 VZ 43.00 bkl Jin, Yong verfasserin aut Study on inspection method of glass defect based on phase image processing 2014transfer abstract 4 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier To solve the problem in projecting grating method, the paper presents an inspection method based on phase image processing for glass defects. In the proposed method, the wrapped phase difference is achieved according to the images of defect-free and defect-containing. The unwrapping phase algorithm, based on jump corrected is used to eliminate jump error. The segmentation of defect region is implemented by integrating grayscale mathematical morphology with high-low threshold segmentation, and the boundary coordinate of connected region is used to calculate the size and location of defect. The results demonstrate that the proposed method provides reliable identification of defects. To solve the problem in projecting grating method, the paper presents an inspection method based on phase image processing for glass defects. In the proposed method, the wrapped phase difference is achieved according to the images of defect-free and defect-containing. The unwrapping phase algorithm, based on jump corrected is used to eliminate jump error. The segmentation of defect region is implemented by integrating grayscale mathematical morphology with high-low threshold segmentation, and the boundary coordinate of connected region is used to calculate the size and location of defect. The results demonstrate that the proposed method provides reliable identification of defects. Defect region segmentation Elsevier Phase unwrapping Elsevier Glass defect inspection Elsevier Wrapped phase difference image Elsevier Wang, Zhaoba oth Chen, Yu oth Kong, Xiaoli oth Wang, Limei oth Qiao, Weizhe oth Enthalten in Elsevier Cheng, Cheng ELSEVIER Tracking variation of fluorescent dissolved organic matter during full-scale printing and dyeing wastewater treatment 2020 international journal for light and electron optics : official journal of the German Society of Applied Optics and the German Society of Electron Microscopy München (DE-627)ELV004102533 volume:125 year:2014 number:19 pages:5846-5849 extent:4 https://doi.org/10.1016/j.ijleo.2014.07.021 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 43.00 Umweltforschung Umweltschutz: Allgemeines VZ AR 125 2014 19 5846-5849 4 045F 620 |
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Tracking variation of fluorescent dissolved organic matter during full-scale printing and dyeing wastewater treatment |
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Study on inspection method of glass defect based on phase image processing |
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Study on inspection method of glass defect based on phase image processing |
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Jin, Yong |
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Tracking variation of fluorescent dissolved organic matter during full-scale printing and dyeing wastewater treatment |
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Tracking variation of fluorescent dissolved organic matter during full-scale printing and dyeing wastewater treatment |
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10.1016/j.ijleo.2014.07.021 |
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study on inspection method of glass defect based on phase image processing |
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Study on inspection method of glass defect based on phase image processing |
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To solve the problem in projecting grating method, the paper presents an inspection method based on phase image processing for glass defects. In the proposed method, the wrapped phase difference is achieved according to the images of defect-free and defect-containing. The unwrapping phase algorithm, based on jump corrected is used to eliminate jump error. The segmentation of defect region is implemented by integrating grayscale mathematical morphology with high-low threshold segmentation, and the boundary coordinate of connected region is used to calculate the size and location of defect. The results demonstrate that the proposed method provides reliable identification of defects. |
| abstractGer |
To solve the problem in projecting grating method, the paper presents an inspection method based on phase image processing for glass defects. In the proposed method, the wrapped phase difference is achieved according to the images of defect-free and defect-containing. The unwrapping phase algorithm, based on jump corrected is used to eliminate jump error. The segmentation of defect region is implemented by integrating grayscale mathematical morphology with high-low threshold segmentation, and the boundary coordinate of connected region is used to calculate the size and location of defect. The results demonstrate that the proposed method provides reliable identification of defects. |
| abstract_unstemmed |
To solve the problem in projecting grating method, the paper presents an inspection method based on phase image processing for glass defects. In the proposed method, the wrapped phase difference is achieved according to the images of defect-free and defect-containing. The unwrapping phase algorithm, based on jump corrected is used to eliminate jump error. The segmentation of defect region is implemented by integrating grayscale mathematical morphology with high-low threshold segmentation, and the boundary coordinate of connected region is used to calculate the size and location of defect. The results demonstrate that the proposed method provides reliable identification of defects. |
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Study on inspection method of glass defect based on phase image processing |
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https://doi.org/10.1016/j.ijleo.2014.07.021 |
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Wang, Zhaoba Chen, Yu Kong, Xiaoli Wang, Limei Qiao, Weizhe |
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