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. 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.