An image segmentation approach on improved implicit surface model in straddle strategy
Abstract At present, some experts and scholars do not explicitly mention the static model in the analysis of the straddle strategy, which leads to the research results are not ideal. This paper unifies the static model and proposes a method to analyze the arbitrage opportunities in the bond market....
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zhao, Hailei [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media, LLC, part of Springer Nature 2020 |
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| Übergeordnetes Werk: |
Enthalten in: Multimedia tools and applications - Springer US, 1995, 79(2020), 25-26 vom: 25. Feb., Seite 17991-18003 |
|---|---|
| Übergeordnetes Werk: |
volume:79 ; year:2020 ; number:25-26 ; day:25 ; month:02 ; pages:17991-18003 |
| Links: |
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| DOI / URN: |
10.1007/s11042-020-08719-7 |
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OLC2118254946 |
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| 520 | |a Abstract At present, some experts and scholars do not explicitly mention the static model in the analysis of the straddle strategy, which leads to the research results are not ideal. This paper unifies the static model and proposes a method to analyze the arbitrage opportunities in the bond market. At the same time, this paper combines image processing technology to analyze image method and improve image clarity. In addition, this paper uses the contrast method to carry out traditional static model analysis, combines the research requirements to improve the model, obtains the research data through network data collection, and constructs the model for experimental data analysis. Finally, the paper processes the model data through image processing to obtain identifiable statistical images. The research shows that the model proposed in this study has certain validity and can provide theoretical reference for subsequent related research. | ||
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10.1007/s11042-020-08719-7 doi (DE-627)OLC2118254946 (DE-He213)s11042-020-08719-7-p DE-627 ger DE-627 rakwb eng 070 004 VZ Zhao, Hailei verfasserin aut An image segmentation approach on improved implicit surface model in straddle strategy 2020 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2020 Abstract At present, some experts and scholars do not explicitly mention the static model in the analysis of the straddle strategy, which leads to the research results are not ideal. This paper unifies the static model and proposes a method to analyze the arbitrage opportunities in the bond market. At the same time, this paper combines image processing technology to analyze image method and improve image clarity. In addition, this paper uses the contrast method to carry out traditional static model analysis, combines the research requirements to improve the model, obtains the research data through network data collection, and constructs the model for experimental data analysis. Finally, the paper processes the model data through image processing to obtain identifiable statistical images. The research shows that the model proposed in this study has certain validity and can provide theoretical reference for subsequent related research. Implicit surface model Straddle arbitrage Image denoising Image segmentation Image processing Enthalten in Multimedia tools and applications Springer US, 1995 79(2020), 25-26 vom: 25. Feb., Seite 17991-18003 (DE-627)189064145 (DE-600)1287642-2 (DE-576)052842126 1380-7501 nnns volume:79 year:2020 number:25-26 day:25 month:02 pages:17991-18003 https://doi.org/10.1007/s11042-020-08719-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-BUB SSG-OLC-MKW AR 79 2020 25-26 25 02 17991-18003 |
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10.1007/s11042-020-08719-7 doi (DE-627)OLC2118254946 (DE-He213)s11042-020-08719-7-p DE-627 ger DE-627 rakwb eng 070 004 VZ Zhao, Hailei verfasserin aut An image segmentation approach on improved implicit surface model in straddle strategy 2020 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2020 Abstract At present, some experts and scholars do not explicitly mention the static model in the analysis of the straddle strategy, which leads to the research results are not ideal. This paper unifies the static model and proposes a method to analyze the arbitrage opportunities in the bond market. At the same time, this paper combines image processing technology to analyze image method and improve image clarity. In addition, this paper uses the contrast method to carry out traditional static model analysis, combines the research requirements to improve the model, obtains the research data through network data collection, and constructs the model for experimental data analysis. Finally, the paper processes the model data through image processing to obtain identifiable statistical images. The research shows that the model proposed in this study has certain validity and can provide theoretical reference for subsequent related research. Implicit surface model Straddle arbitrage Image denoising Image segmentation Image processing Enthalten in Multimedia tools and applications Springer US, 1995 79(2020), 25-26 vom: 25. Feb., Seite 17991-18003 (DE-627)189064145 (DE-600)1287642-2 (DE-576)052842126 1380-7501 nnns volume:79 year:2020 number:25-26 day:25 month:02 pages:17991-18003 https://doi.org/10.1007/s11042-020-08719-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-BUB SSG-OLC-MKW AR 79 2020 25-26 25 02 17991-18003 |
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10.1007/s11042-020-08719-7 doi (DE-627)OLC2118254946 (DE-He213)s11042-020-08719-7-p DE-627 ger DE-627 rakwb eng 070 004 VZ Zhao, Hailei verfasserin aut An image segmentation approach on improved implicit surface model in straddle strategy 2020 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2020 Abstract At present, some experts and scholars do not explicitly mention the static model in the analysis of the straddle strategy, which leads to the research results are not ideal. This paper unifies the static model and proposes a method to analyze the arbitrage opportunities in the bond market. At the same time, this paper combines image processing technology to analyze image method and improve image clarity. In addition, this paper uses the contrast method to carry out traditional static model analysis, combines the research requirements to improve the model, obtains the research data through network data collection, and constructs the model for experimental data analysis. Finally, the paper processes the model data through image processing to obtain identifiable statistical images. The research shows that the model proposed in this study has certain validity and can provide theoretical reference for subsequent related research. Implicit surface model Straddle arbitrage Image denoising Image segmentation Image processing Enthalten in Multimedia tools and applications Springer US, 1995 79(2020), 25-26 vom: 25. Feb., Seite 17991-18003 (DE-627)189064145 (DE-600)1287642-2 (DE-576)052842126 1380-7501 nnns volume:79 year:2020 number:25-26 day:25 month:02 pages:17991-18003 https://doi.org/10.1007/s11042-020-08719-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-BUB SSG-OLC-MKW AR 79 2020 25-26 25 02 17991-18003 |
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10.1007/s11042-020-08719-7 doi (DE-627)OLC2118254946 (DE-He213)s11042-020-08719-7-p DE-627 ger DE-627 rakwb eng 070 004 VZ Zhao, Hailei verfasserin aut An image segmentation approach on improved implicit surface model in straddle strategy 2020 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2020 Abstract At present, some experts and scholars do not explicitly mention the static model in the analysis of the straddle strategy, which leads to the research results are not ideal. This paper unifies the static model and proposes a method to analyze the arbitrage opportunities in the bond market. At the same time, this paper combines image processing technology to analyze image method and improve image clarity. In addition, this paper uses the contrast method to carry out traditional static model analysis, combines the research requirements to improve the model, obtains the research data through network data collection, and constructs the model for experimental data analysis. Finally, the paper processes the model data through image processing to obtain identifiable statistical images. The research shows that the model proposed in this study has certain validity and can provide theoretical reference for subsequent related research. Implicit surface model Straddle arbitrage Image denoising Image segmentation Image processing Enthalten in Multimedia tools and applications Springer US, 1995 79(2020), 25-26 vom: 25. Feb., Seite 17991-18003 (DE-627)189064145 (DE-600)1287642-2 (DE-576)052842126 1380-7501 nnns volume:79 year:2020 number:25-26 day:25 month:02 pages:17991-18003 https://doi.org/10.1007/s11042-020-08719-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-BUB SSG-OLC-MKW AR 79 2020 25-26 25 02 17991-18003 |
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Abstract At present, some experts and scholars do not explicitly mention the static model in the analysis of the straddle strategy, which leads to the research results are not ideal. This paper unifies the static model and proposes a method to analyze the arbitrage opportunities in the bond market. At the same time, this paper combines image processing technology to analyze image method and improve image clarity. In addition, this paper uses the contrast method to carry out traditional static model analysis, combines the research requirements to improve the model, obtains the research data through network data collection, and constructs the model for experimental data analysis. Finally, the paper processes the model data through image processing to obtain identifiable statistical images. The research shows that the model proposed in this study has certain validity and can provide theoretical reference for subsequent related research. © Springer Science+Business Media, LLC, part of Springer Nature 2020 |
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Abstract At present, some experts and scholars do not explicitly mention the static model in the analysis of the straddle strategy, which leads to the research results are not ideal. This paper unifies the static model and proposes a method to analyze the arbitrage opportunities in the bond market. At the same time, this paper combines image processing technology to analyze image method and improve image clarity. In addition, this paper uses the contrast method to carry out traditional static model analysis, combines the research requirements to improve the model, obtains the research data through network data collection, and constructs the model for experimental data analysis. Finally, the paper processes the model data through image processing to obtain identifiable statistical images. The research shows that the model proposed in this study has certain validity and can provide theoretical reference for subsequent related research. © Springer Science+Business Media, LLC, part of Springer Nature 2020 |
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Abstract At present, some experts and scholars do not explicitly mention the static model in the analysis of the straddle strategy, which leads to the research results are not ideal. This paper unifies the static model and proposes a method to analyze the arbitrage opportunities in the bond market. At the same time, this paper combines image processing technology to analyze image method and improve image clarity. In addition, this paper uses the contrast method to carry out traditional static model analysis, combines the research requirements to improve the model, obtains the research data through network data collection, and constructs the model for experimental data analysis. Finally, the paper processes the model data through image processing to obtain identifiable statistical images. The research shows that the model proposed in this study has certain validity and can provide theoretical reference for subsequent related research. © Springer Science+Business Media, LLC, part of Springer Nature 2020 |
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