Mountainous ground crack detection algorithm based on the improved DeepCrack network
Aiming at the problems of complex background,unbalanced ratio of cracks and background pixels in mountainous ar-eas,as well as the poor effect of traditional crack detection algorithms,low accuracy,and insufficient generalisation performance,the DeepCrack network is proposed as the basic architecture,while the basic network is improved by adding a Coordinate Attention mecha-nism,adjusting the loss function,and replacing the optimiser with the Adan optimiser.To demonstrate the effectiveness and accuracy of the proposed algorithm,the DeepCrack dataset is combined with the manually labelled dataset,and the F-feature metric is used to eval-uate the detection performance.The experimental results show that the overall accuracy of the improved algorithm in the dataset is im-proved by 1.61%relative to the original algorithm,so the improved algorithm enhances the accuracy of crack detection and has better detection results.
Detection of surface cracksDeepCrack networkCoordinate attention mechanismAdan optimizerF-feature
国家科技期刊平台
NSTL
万方数据
维普
