Abstract
In recent years, scholars have proposed different plot digitizing algorithms. Shen proposed a node-based algorithm, which used the topological structure to correct the clarity of the curve to some extent but could not separate the different curve segments. Shi proposed the tracking of sparse pixel traversal, which only applicable to the solid curve and cannot recognize the dotted curve. This paper studies a digital image processing problem for digitizing plot images, in which contains multiple curves and noise. The objective is to completely digitizing the data from the plot images, whether dotted curves or solid curves, and resists interference such as coordinate axes and other noises. A mathematical programing model is presented to describe the problem. One heuristic procedure based on beam search is developed aiming at quickly seeking optimal or near-optimal solutions. Computational experiments show that the proposed algorithm perform well, which was statistically whether identical or better than other approaches.
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Xu, Z., Shi, H., Liu, X. (2019). Plot Digitizing over Big Data Using Beam Search. In: Qiu, M. (eds) Smart Computing and Communication. SmartCom 2019. Lecture Notes in Computer Science(), vol 11910. Springer, Cham. https://doi.org/10.1007/978-3-030-34139-8_12
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DOI: https://doi.org/10.1007/978-3-030-34139-8_12
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