Pavement Damage Crack Recognition Method Based on High-Resolution Linear Array Cameras and Adaptive Lifting Algorithm

Yi Han; Shiwei Tu; Yanyu Yang; Ke Lei; Chunlei Liu

doi:10.20944/preprints201802.0102.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 15 February 2018 / Approved: 15 February 2018 / Online: 15 February 2018 (16:41:25 CET)

This paper proposes a crack recognition method based on high-resolution line array cameras and adaptive lifting algorithm. By defining the crack rate, this algorithm calculates the ratio of the crack area to the area of the entire collected image to characterize the damage extent of the current section. The algorithm first uses image preprocessing to reduce the image noise, then uses histogram equalization to enhance the feature of the crack region, divides the whole image into multiple sub-blocks, and extracts region features in the sub-block. At the same time, this algorithm defines related feature descriptors, and constructs weak classifiers according to each feature descriptor, and converts the weak classifiers into strong classifiers by using an adaptive lifting algorithm. Finally, this algorithm realizes the division of the crack regions. Experimental results show that the proposed algorithm can meet the actual needs and is better than other classical algorithms.

line array cameras; pavement crack detection; feature analysis; adaptive lifting

MATHEMATICS & COMPUTER SCIENCE, Information Technology & Data Management

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Pavement Damage Crack Recognition Method Based on High-Resolution Linear Array Cameras and Adaptive Lifting Algorithm

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