8 October 2015 Study on key techniques for camera-based hydrological record image digitization
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Proceedings Volume 9675, AOPC 2015: Image Processing and Analysis; 967511 (2015) https://doi.org/10.1117/12.2199214
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China
With the development of information technology, the digitization of scientific or engineering drawings has received more and more attention. In hydrology, meteorology, medicine and mining industry, the grid drawing sheet is commonly used to record the observations from sensors. However, these paper drawings may be destroyed and contaminated due to improper preservation or overuse. Further, it will be a heavy workload and prone to error if these data are manually transcripted into the computer. Hence, in order to digitize these drawings, establishing the corresponding data base will ensure the integrity of data and provide invaluable information for further research. This paper presents an automatic system for hydrological record image digitization, which consists of three key techniques, i.e., image segmentation, intersection point localization and distortion rectification.

First, a novel approach to the binarization of the curves and grids in the water level sheet image has been proposed, which is based on the fusion of gradient and color information adaptively. Second, a fast search strategy for cross point location is invented and point-by-point processing is thus avoided, with the help of grid distribution information. And finally, we put forward a local rectification method through analyzing the central portions of the image and utilizing the domain knowledge of hydrology. The processing speed is accelerated, while the accuracy is still satisfying. Experiments on several real water level records show that our proposed techniques are effective and capable of recovering the hydrological observations accurately.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shijin Li, Shijin Li, Di Zhan, Di Zhan, Jinlong Hu, Jinlong Hu, Xiangtao Gao, Xiangtao Gao, Ping Bo, Ping Bo, } "Study on key techniques for camera-based hydrological record image digitization", Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 967511 (8 October 2015); doi: 10.1117/12.2199214; https://doi.org/10.1117/12.2199214


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