期刊
MEASUREMENT
卷 86, 期 -, 页码 26-40出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.measurement.2016.02.044
关键词
Pavement distress; Image processing; Uniform background; Multi-scale wavelet transform
资金
- Shanghai PPD Transportation Science Technology LTD
- National Science Foundation of China [51250110075, U1134206]
Non-uniform background of pavement images results in difficulties when segmenting pavement images for pavement distress identification. A novel and fast non-uniform background removal algorithm based on multi-scale wavelet transform is presented. The algorithm uses multi-scale wavelet transform to decompose pavement image and then reconstructs image background using low-wavenumber components through inverse wavelet transform. Brightness of image background is then corrected to achieve uniform background pavement image. The multi-scale wavelet transform algorithm is compared with median filter algorithm and morphological closing algorithm. Experimental results show that the proposed algorithm possesses the advantage of extracting tiny cracks more effectively than the other two algorithms, demonstrating its suitability to be used in automated pavement distress segmentation and identification. (C) 2016 Elsevier Ltd. All rights reserved.
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