Terahertz Imaging Based on Morphological Reconstruction
Terahertz (THz) imaging technology is a developing and promising candidate for biological diagnosis, security inspection, and semiconductor wafer examination, due to the low photon energy, the high transparency, and the fingerprint properties of the THz radiation. However, a major encountered bottle...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Shi, Jia [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: IEEE journal of selected topics in quantum electronics - New York, NY : IEEE, 1995, 23(2017), 4, Seite 1-7 |
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| Übergeordnetes Werk: |
volume:23 ; year:2017 ; number:4 ; pages:1-7 |
| Links: |
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| DOI / URN: |
10.1109/JSTQE.2017.2649461 |
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OLC1993438882 |
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| 520 | |a Terahertz (THz) imaging technology is a developing and promising candidate for biological diagnosis, security inspection, and semiconductor wafer examination, due to the low photon energy, the high transparency, and the fingerprint properties of the THz radiation. However, a major encountered bottleneck is the degradation of image quality caused by the power fluctuation of THz source, interference phenomenon, complex environment, and so on. In this paper, we present the mathematical morphology for THz imaging to improve the image quality, taking advantage of morphological reconstructions. Based on the original THz image of a paper with some letters taken from our continuous THz imaging system, the visibility of objects has been successfully enhanced with the suppression of complex background and improvement of peak signal-to-noise ratio using morphological reconstruction. Moreover, morphological reconstruction with proper structuring element parameter was then performed to a THz image of fresh rat cerebral tissue. It presents a satisfactory result with clearer edges and suppressions of the interference fringes and noises. It is suggested that THz imaging based on morphological reconstruction opens a pathway towards automatic techniques for denoising, recognitions, and segmentations in THz biomedical imaging. | ||
| 650 | 4 | |a Biomedical imaging | |
| 650 | 4 | |a image reconstruction techniques | |
| 650 | 4 | |a morphological transformations | |
| 650 | 4 | |a Filtering algorithms | |
| 650 | 4 | |a Terahertz imaging | |
| 650 | 4 | |a Fluctuations | |
| 650 | 4 | |a Image reconstruction | |
| 650 | 4 | |a Image quality | |
| 650 | 4 | |a Microwave filters | |
| 700 | 1 | |a Wang, Yuye |4 oth | |
| 700 | 1 | |a Xu, Degang |4 oth | |
| 700 | 1 | |a Yan, Chao |4 oth | |
| 700 | 1 | |a Chen, Tunan |4 oth | |
| 700 | 1 | |a He, Yixin |4 oth | |
| 700 | 1 | |a Tang, Longhuang |4 oth | |
| 700 | 1 | |a Nie, Meitong |4 oth | |
| 700 | 1 | |a Duan, Pan |4 oth | |
| 700 | 1 | |a Yan, Dexian |4 oth | |
| 700 | 1 | |a Feng, Hua |4 oth | |
| 700 | 1 | |a Yao, Jianquan |4 oth | |
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10.1109/JSTQE.2017.2649461 doi PQ20170501 (DE-627)OLC1993438882 (DE-599)GBVOLC1993438882 (PRQ)c729-7061fb1927d27a218f95edb6228c63a7c0805ba31441a8d4865812a7dfd28ec90 (KEY)0272399920170000023000400001terahertzimagingbasedonmorphologicalreconstruction DE-627 ger DE-627 rakwb eng 530 620 DNB Shi, Jia verfasserin aut Terahertz Imaging Based on Morphological Reconstruction 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Terahertz (THz) imaging technology is a developing and promising candidate for biological diagnosis, security inspection, and semiconductor wafer examination, due to the low photon energy, the high transparency, and the fingerprint properties of the THz radiation. However, a major encountered bottleneck is the degradation of image quality caused by the power fluctuation of THz source, interference phenomenon, complex environment, and so on. In this paper, we present the mathematical morphology for THz imaging to improve the image quality, taking advantage of morphological reconstructions. Based on the original THz image of a paper with some letters taken from our continuous THz imaging system, the visibility of objects has been successfully enhanced with the suppression of complex background and improvement of peak signal-to-noise ratio using morphological reconstruction. Moreover, morphological reconstruction with proper structuring element parameter was then performed to a THz image of fresh rat cerebral tissue. It presents a satisfactory result with clearer edges and suppressions of the interference fringes and noises. It is suggested that THz imaging based on morphological reconstruction opens a pathway towards automatic techniques for denoising, recognitions, and segmentations in THz biomedical imaging. Biomedical imaging image reconstruction techniques morphological transformations Filtering algorithms Terahertz imaging Fluctuations Image reconstruction Image quality Microwave filters Wang, Yuye oth Xu, Degang oth Yan, Chao oth Chen, Tunan oth He, Yixin oth Tang, Longhuang oth Nie, Meitong oth Duan, Pan oth Yan, Dexian oth Feng, Hua oth Yao, Jianquan oth Enthalten in IEEE journal of selected topics in quantum electronics New York, NY : IEEE, 1995 23(2017), 4, Seite 1-7 (DE-627)184666007 (DE-600)1232977-0 (DE-576)046708901 1077-260X nnns volume:23 year:2017 number:4 pages:1-7 http://dx.doi.org/10.1109/JSTQE.2017.2649461 Volltext http://ieeexplore.ieee.org/document/7809040 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY GBV_ILN_70 GBV_ILN_2006 AR 23 2017 4 1-7 |
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10.1109/JSTQE.2017.2649461 doi PQ20170501 (DE-627)OLC1993438882 (DE-599)GBVOLC1993438882 (PRQ)c729-7061fb1927d27a218f95edb6228c63a7c0805ba31441a8d4865812a7dfd28ec90 (KEY)0272399920170000023000400001terahertzimagingbasedonmorphologicalreconstruction DE-627 ger DE-627 rakwb eng 530 620 DNB Shi, Jia verfasserin aut Terahertz Imaging Based on Morphological Reconstruction 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Terahertz (THz) imaging technology is a developing and promising candidate for biological diagnosis, security inspection, and semiconductor wafer examination, due to the low photon energy, the high transparency, and the fingerprint properties of the THz radiation. However, a major encountered bottleneck is the degradation of image quality caused by the power fluctuation of THz source, interference phenomenon, complex environment, and so on. In this paper, we present the mathematical morphology for THz imaging to improve the image quality, taking advantage of morphological reconstructions. Based on the original THz image of a paper with some letters taken from our continuous THz imaging system, the visibility of objects has been successfully enhanced with the suppression of complex background and improvement of peak signal-to-noise ratio using morphological reconstruction. Moreover, morphological reconstruction with proper structuring element parameter was then performed to a THz image of fresh rat cerebral tissue. It presents a satisfactory result with clearer edges and suppressions of the interference fringes and noises. It is suggested that THz imaging based on morphological reconstruction opens a pathway towards automatic techniques for denoising, recognitions, and segmentations in THz biomedical imaging. Biomedical imaging image reconstruction techniques morphological transformations Filtering algorithms Terahertz imaging Fluctuations Image reconstruction Image quality Microwave filters Wang, Yuye oth Xu, Degang oth Yan, Chao oth Chen, Tunan oth He, Yixin oth Tang, Longhuang oth Nie, Meitong oth Duan, Pan oth Yan, Dexian oth Feng, Hua oth Yao, Jianquan oth Enthalten in IEEE journal of selected topics in quantum electronics New York, NY : IEEE, 1995 23(2017), 4, Seite 1-7 (DE-627)184666007 (DE-600)1232977-0 (DE-576)046708901 1077-260X nnns volume:23 year:2017 number:4 pages:1-7 http://dx.doi.org/10.1109/JSTQE.2017.2649461 Volltext http://ieeexplore.ieee.org/document/7809040 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY GBV_ILN_70 GBV_ILN_2006 AR 23 2017 4 1-7 |
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10.1109/JSTQE.2017.2649461 doi PQ20170501 (DE-627)OLC1993438882 (DE-599)GBVOLC1993438882 (PRQ)c729-7061fb1927d27a218f95edb6228c63a7c0805ba31441a8d4865812a7dfd28ec90 (KEY)0272399920170000023000400001terahertzimagingbasedonmorphologicalreconstruction DE-627 ger DE-627 rakwb eng 530 620 DNB Shi, Jia verfasserin aut Terahertz Imaging Based on Morphological Reconstruction 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Terahertz (THz) imaging technology is a developing and promising candidate for biological diagnosis, security inspection, and semiconductor wafer examination, due to the low photon energy, the high transparency, and the fingerprint properties of the THz radiation. However, a major encountered bottleneck is the degradation of image quality caused by the power fluctuation of THz source, interference phenomenon, complex environment, and so on. In this paper, we present the mathematical morphology for THz imaging to improve the image quality, taking advantage of morphological reconstructions. Based on the original THz image of a paper with some letters taken from our continuous THz imaging system, the visibility of objects has been successfully enhanced with the suppression of complex background and improvement of peak signal-to-noise ratio using morphological reconstruction. Moreover, morphological reconstruction with proper structuring element parameter was then performed to a THz image of fresh rat cerebral tissue. It presents a satisfactory result with clearer edges and suppressions of the interference fringes and noises. It is suggested that THz imaging based on morphological reconstruction opens a pathway towards automatic techniques for denoising, recognitions, and segmentations in THz biomedical imaging. Biomedical imaging image reconstruction techniques morphological transformations Filtering algorithms Terahertz imaging Fluctuations Image reconstruction Image quality Microwave filters Wang, Yuye oth Xu, Degang oth Yan, Chao oth Chen, Tunan oth He, Yixin oth Tang, Longhuang oth Nie, Meitong oth Duan, Pan oth Yan, Dexian oth Feng, Hua oth Yao, Jianquan oth Enthalten in IEEE journal of selected topics in quantum electronics New York, NY : IEEE, 1995 23(2017), 4, Seite 1-7 (DE-627)184666007 (DE-600)1232977-0 (DE-576)046708901 1077-260X nnns volume:23 year:2017 number:4 pages:1-7 http://dx.doi.org/10.1109/JSTQE.2017.2649461 Volltext http://ieeexplore.ieee.org/document/7809040 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY GBV_ILN_70 GBV_ILN_2006 AR 23 2017 4 1-7 |
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10.1109/JSTQE.2017.2649461 doi PQ20170501 (DE-627)OLC1993438882 (DE-599)GBVOLC1993438882 (PRQ)c729-7061fb1927d27a218f95edb6228c63a7c0805ba31441a8d4865812a7dfd28ec90 (KEY)0272399920170000023000400001terahertzimagingbasedonmorphologicalreconstruction DE-627 ger DE-627 rakwb eng 530 620 DNB Shi, Jia verfasserin aut Terahertz Imaging Based on Morphological Reconstruction 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Terahertz (THz) imaging technology is a developing and promising candidate for biological diagnosis, security inspection, and semiconductor wafer examination, due to the low photon energy, the high transparency, and the fingerprint properties of the THz radiation. However, a major encountered bottleneck is the degradation of image quality caused by the power fluctuation of THz source, interference phenomenon, complex environment, and so on. In this paper, we present the mathematical morphology for THz imaging to improve the image quality, taking advantage of morphological reconstructions. Based on the original THz image of a paper with some letters taken from our continuous THz imaging system, the visibility of objects has been successfully enhanced with the suppression of complex background and improvement of peak signal-to-noise ratio using morphological reconstruction. Moreover, morphological reconstruction with proper structuring element parameter was then performed to a THz image of fresh rat cerebral tissue. It presents a satisfactory result with clearer edges and suppressions of the interference fringes and noises. It is suggested that THz imaging based on morphological reconstruction opens a pathway towards automatic techniques for denoising, recognitions, and segmentations in THz biomedical imaging. Biomedical imaging image reconstruction techniques morphological transformations Filtering algorithms Terahertz imaging Fluctuations Image reconstruction Image quality Microwave filters Wang, Yuye oth Xu, Degang oth Yan, Chao oth Chen, Tunan oth He, Yixin oth Tang, Longhuang oth Nie, Meitong oth Duan, Pan oth Yan, Dexian oth Feng, Hua oth Yao, Jianquan oth Enthalten in IEEE journal of selected topics in quantum electronics New York, NY : IEEE, 1995 23(2017), 4, Seite 1-7 (DE-627)184666007 (DE-600)1232977-0 (DE-576)046708901 1077-260X nnns volume:23 year:2017 number:4 pages:1-7 http://dx.doi.org/10.1109/JSTQE.2017.2649461 Volltext http://ieeexplore.ieee.org/document/7809040 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY GBV_ILN_70 GBV_ILN_2006 AR 23 2017 4 1-7 |
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10.1109/JSTQE.2017.2649461 doi PQ20170501 (DE-627)OLC1993438882 (DE-599)GBVOLC1993438882 (PRQ)c729-7061fb1927d27a218f95edb6228c63a7c0805ba31441a8d4865812a7dfd28ec90 (KEY)0272399920170000023000400001terahertzimagingbasedonmorphologicalreconstruction DE-627 ger DE-627 rakwb eng 530 620 DNB Shi, Jia verfasserin aut Terahertz Imaging Based on Morphological Reconstruction 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Terahertz (THz) imaging technology is a developing and promising candidate for biological diagnosis, security inspection, and semiconductor wafer examination, due to the low photon energy, the high transparency, and the fingerprint properties of the THz radiation. However, a major encountered bottleneck is the degradation of image quality caused by the power fluctuation of THz source, interference phenomenon, complex environment, and so on. In this paper, we present the mathematical morphology for THz imaging to improve the image quality, taking advantage of morphological reconstructions. Based on the original THz image of a paper with some letters taken from our continuous THz imaging system, the visibility of objects has been successfully enhanced with the suppression of complex background and improvement of peak signal-to-noise ratio using morphological reconstruction. Moreover, morphological reconstruction with proper structuring element parameter was then performed to a THz image of fresh rat cerebral tissue. It presents a satisfactory result with clearer edges and suppressions of the interference fringes and noises. It is suggested that THz imaging based on morphological reconstruction opens a pathway towards automatic techniques for denoising, recognitions, and segmentations in THz biomedical imaging. Biomedical imaging image reconstruction techniques morphological transformations Filtering algorithms Terahertz imaging Fluctuations Image reconstruction Image quality Microwave filters Wang, Yuye oth Xu, Degang oth Yan, Chao oth Chen, Tunan oth He, Yixin oth Tang, Longhuang oth Nie, Meitong oth Duan, Pan oth Yan, Dexian oth Feng, Hua oth Yao, Jianquan oth Enthalten in IEEE journal of selected topics in quantum electronics New York, NY : IEEE, 1995 23(2017), 4, Seite 1-7 (DE-627)184666007 (DE-600)1232977-0 (DE-576)046708901 1077-260X nnns volume:23 year:2017 number:4 pages:1-7 http://dx.doi.org/10.1109/JSTQE.2017.2649461 Volltext http://ieeexplore.ieee.org/document/7809040 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY GBV_ILN_70 GBV_ILN_2006 AR 23 2017 4 1-7 |
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Terahertz (THz) imaging technology is a developing and promising candidate for biological diagnosis, security inspection, and semiconductor wafer examination, due to the low photon energy, the high transparency, and the fingerprint properties of the THz radiation. However, a major encountered bottleneck is the degradation of image quality caused by the power fluctuation of THz source, interference phenomenon, complex environment, and so on. In this paper, we present the mathematical morphology for THz imaging to improve the image quality, taking advantage of morphological reconstructions. Based on the original THz image of a paper with some letters taken from our continuous THz imaging system, the visibility of objects has been successfully enhanced with the suppression of complex background and improvement of peak signal-to-noise ratio using morphological reconstruction. Moreover, morphological reconstruction with proper structuring element parameter was then performed to a THz image of fresh rat cerebral tissue. It presents a satisfactory result with clearer edges and suppressions of the interference fringes and noises. It is suggested that THz imaging based on morphological reconstruction opens a pathway towards automatic techniques for denoising, recognitions, and segmentations in THz biomedical imaging. |
| abstractGer |
Terahertz (THz) imaging technology is a developing and promising candidate for biological diagnosis, security inspection, and semiconductor wafer examination, due to the low photon energy, the high transparency, and the fingerprint properties of the THz radiation. However, a major encountered bottleneck is the degradation of image quality caused by the power fluctuation of THz source, interference phenomenon, complex environment, and so on. In this paper, we present the mathematical morphology for THz imaging to improve the image quality, taking advantage of morphological reconstructions. Based on the original THz image of a paper with some letters taken from our continuous THz imaging system, the visibility of objects has been successfully enhanced with the suppression of complex background and improvement of peak signal-to-noise ratio using morphological reconstruction. Moreover, morphological reconstruction with proper structuring element parameter was then performed to a THz image of fresh rat cerebral tissue. It presents a satisfactory result with clearer edges and suppressions of the interference fringes and noises. It is suggested that THz imaging based on morphological reconstruction opens a pathway towards automatic techniques for denoising, recognitions, and segmentations in THz biomedical imaging. |
| abstract_unstemmed |
Terahertz (THz) imaging technology is a developing and promising candidate for biological diagnosis, security inspection, and semiconductor wafer examination, due to the low photon energy, the high transparency, and the fingerprint properties of the THz radiation. However, a major encountered bottleneck is the degradation of image quality caused by the power fluctuation of THz source, interference phenomenon, complex environment, and so on. In this paper, we present the mathematical morphology for THz imaging to improve the image quality, taking advantage of morphological reconstructions. Based on the original THz image of a paper with some letters taken from our continuous THz imaging system, the visibility of objects has been successfully enhanced with the suppression of complex background and improvement of peak signal-to-noise ratio using morphological reconstruction. Moreover, morphological reconstruction with proper structuring element parameter was then performed to a THz image of fresh rat cerebral tissue. It presents a satisfactory result with clearer edges and suppressions of the interference fringes and noises. It is suggested that THz imaging based on morphological reconstruction opens a pathway towards automatic techniques for denoising, recognitions, and segmentations in THz biomedical imaging. |
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Terahertz Imaging Based on Morphological Reconstruction |
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Wang, Yuye Xu, Degang Yan, Chao Chen, Tunan He, Yixin Tang, Longhuang Nie, Meitong Duan, Pan Yan, Dexian Feng, Hua Yao, Jianquan |
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