Live broadcast picture color automatic correction system based on machine learning

The invention discloses a live broadcast picture color automatic correction system based on machine learning, which comprises an image segmentation preprocessing module, an image color correction analysis module and a picture adjustment analysis module, relates to the technical field of image color correction, and solves the problem that image channel data are singly processed and adjusted, so that the image channel data cannot be corrected. In order to solve the technical problems that the whole image is not coordinated and the whole quality of the image is reduced in the prior art, the method comprises the following steps: segmenting the image, determining an area needing to be adjusted according to a pixel value of the image, and further analyzing the brightness and contrast of the classified area needing to be adjusted, so that the image quality is improved. The method comprises the following steps: determining proper parameters to adjust the numerical value of an area, and further performing influence an