STRONG NOISE PARTICLE IMAGE RECOGNITION BASED ON SUPPORT VECTOR MACHINES

When observing the flight path of particles in plasma, the radiated light of plasma is scattered by particles, resulting in strong noise interference. In view of this situation, a particle image recognition algorithm under strong noise interference is proposed. After preprocessing the strong noise particle image with adaptive filter and edge detection, Hough circle transform was used to extract the candidate region of particle, and the support vector machine classifier was trained and tested based on the gray contrast and edge strength of the candidate region. The results show that the target recognition algorithm based on support vector machine is feasible under strong noise interference, and the recognition accuracy is as high as 95%.