Apparent Disease Detection of Fabricated Steel Structure Based on BP Algorithm
In detecting apparent defects in prefabricated steel structures,the detection of small defects affected by environmental and subjective factors has a relatively poor performance.Therefore,using the BP algorithm,a new method for detecting apparent defects in prefabricated building steel structures is designed.An industrial camera is installed on the inspection vehicle to capture images of prefabricated building steel structures,and preprocess the images through line-ar grayscale stretching,nonlinear filtering and other methods.The image grayscale co-occurrence matrix is employed to determine the texture feature parameters.Based on the BP algorithm,a surface defect detection model consisting of several 3-layer neural subnetworks is constructed,and accurate detection of surface defects in prefabricated steel structures in complex environments is achieved through adaptive adjustment and training.The experimental results show that the val-ue of the comprehensive index F1 of the output detection results of the proposed method is above 0.9,which meets quality requirements for apparent disease detection and optimizes detection quality.
BP algorithmfabricated buildingsteel structureapparent defectgradient de-scent method
万方数据
维普
