Research on Intelligent Method of Core Recognition Based on Deep Feature Learning of Big Data in Cloud Computing


  • Zhu Xiaolin, Lu Wei


Compared with the influence of the change of wire core structure on resistivity, the surface morphology of wire core has a greater influence on resistivity. In this paper, an intelligent method of core line recognition based on deep feature learning of big data is proposed in cloud computing. The region of interest is enlarged by local enhancement of image, and then the target area is filtered out by threshold segmentation; On this basis, the correlation dimension is introduced to extract the key features of big data. Experimental results show that the proposed method for extracting key features of big data is feasible and efficient, and has better performance than other methods. The difficulties and deficiencies of soft materials in visual recognition can meet the requirements of high speed and real-time, the accuracy of identification is high, and it has a wide range of applications. However, due to the lack of technology to intelligently identify and voltage the harness to the specified processing channel, the high degree of integration automation of power cord processing is not possible.