Analysis of Intelligent Art Design Paradigm Based on Perception Model and Image Feature Extraction

Analysis of intelligent art design paradigm based on perception model and image feature extraction is studied in this research. In the study of information search behavior, in recent years, most of the measurement of the perceived risk focuses on the user's direct perception to enhance the general model, where the complex paradigm is considered. This research work obtains the locally associated frames of the visual pixel points of the color image space, reconstruct the edge contour feature distribution set of the color image, obtain the edge contour of the color image, and use the multifractal technology to match the shape feature of the color image. Besides this, the comprehensive model patterns are collected to support the construction of the framework. The model is applied into the art design and the applications are tested.