Research Article
Triangle Coordinate Diagram Localization for Academic Literature Based on Line Segment Detection in Cloud Computing
@INPROCEEDINGS{10.1007/978-3-030-99191-3_5, author={Baixuan Tang and Jielin Jiang and Xiaolong Xu and Lianyong Qi and Xiaokang Zhou and Yang Chen}, title={Triangle Coordinate Diagram Localization for Academic Literature Based on Line Segment Detection in Cloud Computing}, proceedings={Cloud Computing. 11th EAI International Conference, CloudComp 2021, Virtual Event, December 9--10, 2021, Proceedings}, proceedings_a={CLOUDCOMP}, year={2022}, month={3}, keywords={Triangle coordinate diagram Line segment detection Academic literature Diagram localization}, doi={10.1007/978-3-030-99191-3_5} }- Baixuan Tang
Jielin Jiang
Xiaolong Xu
Lianyong Qi
Xiaokang Zhou
Yang Chen
Year: 2022
Triangle Coordinate Diagram Localization for Academic Literature Based on Line Segment Detection in Cloud Computing
CLOUDCOMP
Springer
DOI: 10.1007/978-3-030-99191-3_5
Abstract
The localization of triangle coordinate diagram in academic literature is an important step in the process of data mining. However, the detection of triangle coordinate diagram in academic literature mainly depends on manual work, which consumes a lot of time. At present, there is no specific locating method for triangle coordinate diagram. To solve this problem, this paper proposes a method of triangle coordinate diagram localization based on line segment detection, which can be placed on the cloud platform to provide convenience for the functions such as diagram-based retrieval in academic literature database. Technically, this paper uses line segment detection algorithm and line segment merging algorithm to complete triangle coordinate diagram localization. Finally, an experiment is conducted to evaluate the method, which proves the effectiveness of the proposed method.
