Defect Image Recognition Algorithm Based on Artificial Intelligence
In order to improve the defect recognition accuracy of the actual scene image,based on the artificial intelligence solu-tion,the image recognition technology and deep learning technology,the artificial intelligence accurate recognition mechanism is established.The defect image is collected to prepare for detection,analysis and training of defect target recognition.The effec-tive features of defect image are extracted by combining with watershed segmentation and color feature segmentation.Based on convolution network,the activation function of hidden layer is organically combined,and the Python open source framework is used to establish the defect recognition mechanism of deep neural network.The artificial intelligence algorithm is integrated into the software system to develop the system functions:camera acquisition,video import,HDMI import,pedal control and other practical application functions.The simulation data show that the proposed algorithm has better recognition accuracy and ro-bustness compared with the existing segmentation techniques.
万方数据
维普
