Correlation analysis between multi-category design arts based on principal component analysis model

Abstract

In order to explore the correlation between multi-category design arts, this paper combines principal component analysis model and intelligent art image recognition algorithm to conduct correlation analysis between multi-category design arts. Moreover, this paper constructs the art design model through the art image information recognition algorithm, and solves the one-dimensional transient art image information transfer equation under the diffuse reflection boundary condition. Simultaneously, this paper analyzes the influence of different albedos on the hemispherical reflectance and hemispherical transmittance. In addition, this paper solves the transient artistic image information transfer between double-layer plates with different parameters, considers the case that the refractive index inside the medium is greater than 1, and gives a corresponding calculation example. The research above reveals a strong correlation between various categories of design arts, highlighting the multifaceted role that artistic design can play.