Stability Test of Traditional Art Image Recognition Algorithm Integrated into Children’s Art Works Information Display Platform

Abstract

Laser scanning and infrared feature analysis technology are used to collect images of fake art works, and superpixel fusion method is used to fuse the collected information to extract the boundary feature information of images. The article describes in detail how teachers organize and carry out activities in art areas Effective strategies, through the development of colorful art area activities, make art area activities interesting, playable, studious, and develop children's creative thinking ability. The segmentation accuracy rate is stable. Object segmentation technology provides accurate positioning for further contour extraction and removes useless image background.