Intelligent Mining Method of New Media Art Image Features Based on Multi-scale Rule Set

In the feature mining of new media art images, there are always problems such as low coverage, which lead to incomplete mining data. Therefore, this paper designs an intelligent feature mining method for new media art images based on multi-scale rule sets. After the noise in the new media art image is removed by the variable window filtering algorithm based on the local pixel distribution rule, the new media art image is segmented. Design multi-scale association rule mining algorithm to realize the feature mining of new media art images. Test the performance of the design method. The test results show that the design method has high coverage, high accuracy and low average support estimation error.