at the problems of Poisson noise and uneven illumination in the visible light image of pantograph-catenary arcing, we propose an image processing algorithm including noise reduction and region segmentation. First, Poisson noise in pantograph-catenary arcing image is removed by two-dimensional Gabor wavelet transform algorithm, and then the illumination uniformity is judged according to the improved uniformity measurement algorithm. For the image with uneven illumination, two-dimensional Gamma function is used to segment. Simulation results show that the algorithm can effectively suppress Poisson noise, accurately segment the target area, and the segmentation accuracy reaches 95%. It provides an idea for quantitative analysis of intensity of pantograph-catenary arcing.