Patents Assigned to GuangZhou Cheng'an Testing LTD. of Highway & Bridge
  • Patent number: 11580647
    Abstract: A global and local binary pattern image crack segmentation method based on robot vision comprises the following steps: enhancing a contrast of an acquired original image to obtain an enhanced map; using an improved local binary pattern detection algorithm to process the enhanced map and construct a saliency map; using the enhanced map and the saliency map to segment cracks and obtaining a global and local binary pattern automatic crack segmentation method; and evaluating performance of the obtained global and local binary pattern automatic crack segmentation method. The present application uses logarithmic transformation to enhance the contrast of a crack image, so that information of dark parts of the cracks is richer. Texture features of a rotation invariant local binary pattern are improved. Global information of four directions is integrated, and the law of universal gravitation and gray and roundness features are introduced to correct crack segmentation results, thereby improving segmentation accuracy.
    Type: Grant
    Filed: April 21, 2022
    Date of Patent: February 14, 2023
    Assignees: Guangzhou University, Zhongkai University of Agriculture Engineering, Guangzhou Guangjian Construction Engineering Testing Center Co., Ltd., GuangZhou Cheng'an Testing LTD. of Highway & Bridge
    Inventors: Jiyang Fu, Airong Liu, Zhicheng Yang, Jihua Mao, Bingcong Chen, Jiaming Xu, Yongmin Yang, Xiaosheng Wu, Jianting Cheng