Volume 47 Issue 4
Aug.  2019
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YUAN Mingdao, TAN Cai, LI Yang, XU Yunqian, ZHANG Xuhui, YANG Jingxue. A pipeline robot detection image enhancement method based on image fusion and improved threshold[J]. COAL GEOLOGY & EXPLORATION, 2019, 47(4): 178-185. DOI: 10.3969/j.issn.1001-1986.2019.04.027
Citation: YUAN Mingdao, TAN Cai, LI Yang, XU Yunqian, ZHANG Xuhui, YANG Jingxue. A pipeline robot detection image enhancement method based on image fusion and improved threshold[J]. COAL GEOLOGY & EXPLORATION, 2019, 47(4): 178-185. DOI: 10.3969/j.issn.1001-1986.2019.04.027
shu

A pipeline robot detection image enhancement method based on image fusion and improved threshold

  • 1. Guangdong Research Institute of Water Resources and Hydropower, Guangzhou 510610, China;

  • 2. Department of Computer Science and Engineering, Tianjin University of Technology, Tianjin 300384, China

Funds: 

Water Resource Science and Technology Innovation Program of Shenzhen(20170103)

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  • Received Date: August 24, 2018
  • Published Date: August 24, 2019
    Graphical Abstract
    • Abstract
  • Pipeline robot detection technology can quickly, accurately and intuitively identify the structure and hidden functional troubles of pipeline. However, due to the restriction of the pipeline environment, the detected images have problems such as uneven illumination, low contrast and blurred details. Therefore, an enhancement technique for detected image of pipeline robot is proposed. First, the contrast limited adaptive histogram equalization(CLAHE) and homomorphic filtrate(HF) are applied to deal with the problem of uneven illumination and low contrast, and the result images of the two methods are fused. Secondly, the fusion images are transformed by the Nonsubsampled Contourlet Transform(NSCT), and the improved Bayes-Shrink threshold is used to remove the noise of the high frequency coefficient. Finally, the nonlinear mapping function is used to enhance the details, and the NSCT inverse transform is used to get the final enhanced image. In order to verify the effectiveness and superiority of the method for pipeline robot detection image, 5 typical pipeline robot detection images were selected and enhanced by this method, and compared with 4 common image enhancement technologies. The results show that image enhancement method for pipeline robot detection image by using image fusion and improved threshold can effectively improve the overall and local contrast image, and effectively enhance the image details. It can solve the main problems in pipeline robot detected image effectively.
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    • References (18)
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