基于逆光图像校正的竞技体操连接加分动作分割方法OA

A competitive gymnastics connection bonus action segmentation method based on backlight image cor-rection(Backlight Image Correction Method)is proposed to compensate for local overexposure and underexposure caused by backlight,thereby improving the accuracy of action segmentation.This method corrects the dark and bright areas of backlight images and utilizes a multi-scale fusion pyramid to fuse these bright and dark regions.It employs Gaussian Mixture Model(GMM)background modeling to process the corrected images,obtaining a back-ground model,and combines it with an improved ViBe algorithm for action segmentation.Experimental results dem-onstrate that this method can enhance the image information entropy and average gradient,effectively segment con-nection bonus actions,and achieve high boundary smoothness in action segmentation under different light intensi-ties,providing theoretical support for the automation and scientific assessment of competitive gymnastics scoring.