Research on laser image classification and recognition based on large data analysis technology

In order to improve the effect of laser image classification, a laser image classification and recognition method based on large data analysis technology is designed according to the large-scale characteristics of laser image. Firstly, the roughness, orientation and contrast texture features of laser image are determined to form the texture feature data field of laser image. Then, Spark parallel support vector machine algorithm is introduced to establish image classifier. Laser image classification and recognition are realized according to image classifier. Finally, the simulation comparison of laser image classification and recognition is carried out. Test. The test results show that the efficiency and accuracy of this method are superior to each other, and it can fully meet the practical application requirements of large-scale laser image classification and recognition.