Research on Self-Organizing Intelligent Classification Management Model of Artistic Aesthetic Images Based on MLAP Algorithm

Abstract

In order to solve the problem of conventional combination and complex and inefficient processing of large-scale digital art images, the self-organization technology based on an image spatial similarity algorithm is provided, and the visual feature representation method of color, image, spatial layout features, SIFT and other similarity algorithms is provided for art images. The spatial clustering method of features is further verified by calculating and modeling the spatial layout features of art images. Based on the multi-layer Nearest Neighbor Propagation clustering method, the experimental picture database is hierarchically clustered to form a hierarchical view mode of pictures. Experiment results show that this method has an excellent performance in the processing and application of art pictures.