Advanced Hybrid Information Processing. Second EAI International Conference, ADHIP 2018, Yiyang, China, October 5-6, 2018, Proceedings

Research Article

Research on Vectorization Method of Complex Linear Image Data

Download
102 downloads
  • @INPROCEEDINGS{10.1007/978-3-030-19086-6_35,
        author={Jinbao Shan and Weiwei Jiang},
        title={Research on Vectorization Method of Complex Linear Image Data},
        proceedings={Advanced Hybrid Information Processing. Second EAI International Conference, ADHIP 2018, Yiyang, China, October 5-6, 2018, Proceedings},
        proceedings_a={ADHIP},
        year={2019},
        month={5},
        keywords={Complex line element image Data vectorization extraction Image preprocessing Image segmentation},
        doi={10.1007/978-3-030-19086-6_35}
    }
    
  • Jinbao Shan
    Weiwei Jiang
    Year: 2019
    Research on Vectorization Method of Complex Linear Image Data
    ADHIP
    Springer
    DOI: 10.1007/978-3-030-19086-6_35
Jinbao Shan1,*, Weiwei Jiang1
  • 1: Shandong Institute of Commerce and Technology
*Contact email: shanjb1980@sina.com

Abstract

The traditional data extraction method of complex linear pixel image data can not cope with the vibration and noise of data in the process of data vectorization, which causes the problem of low accuracy of the extraction results. To solve this problem, a complex vector image extraction method is proposed. The MATLAB method is used to remove the noise of complex linear pixel images. In this way, the preprocessing of complex linear pixel image data is provided as the condition of segmentation. The two value algorithm is used to segment the complex linear pixel image data, and the minimum value of the target function is calculated. The data curves are drawn according to the calculation results. Vectorization of image data. The experimental results of the simulated application environment design show that the accuracy of the extraction result is about 45% compared with the traditional extraction method when the same image data is used.