DETECTION TECHNOLOGY OF TUNNEL LEAKAGE DISASTER
BASED ON DIGITAL IMAGE PROCESSING
LIU Xuezeng1，SANG Yunlong2，SU Yunfan3
(1. Civil Engineering Research Center for Information Technology of Ministry of Education，Tongji University，Shanghai 200092，China；2. College of Civil Engineering，Tongji University，Shanghai 200092，China；
3. China Resources Land(Shanghai) Limited，Shanghai 200092，China)
Abstract：Focused on area of tunnel leakage disaster，a complete set of image processing algorithms，consisting of denoising，sharpening，image segmention，and improving algorithm，are developed for inspecting leakage disaster. By pre-processing，gray translation，segmentation threshold and pattern correction，finally，area of leakage disaster is got. Then，the calibration relation between pixels and actual shot size is got with outdoor tests. And as a convenient，low-costing，visual and highly efficient detection method，tunnel leakage recognition system is developed.
刘学增1，桑运龙2，苏云帆3. 基于数字图像处理的隧道渗漏水病害检测技术[J]. 岩石力学与工程学报, 2012, 31(s2): 3779-3786.
LIU Xuezeng1，SANG Yunlong2，SU Yunfan3. DETECTION TECHNOLOGY OF TUNNEL LEAKAGE DISASTER
BASED ON DIGITAL IMAGE PROCESSING. , 2012, 31(s2): 3779-3786.
高 赟. 图像灰度增强算法的研究[硕士学位论文][D]. 西安：西安电子科技大学，2007.(GAO Yun. Research on the gray enhancement algorithms[M. S. Thesis][D]. Xi?an：Xidian University，2007.(in Chinese))
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2012, Vol. 31 
