Research on Product Visual Image Design Based on Behavior-Emotion Preference Analysis

User behavior preferences are restricted by multiple factors such as personal preferences, habits, social environment and cultural background. A single preference consideration is difficult to adapt to the product visual image design requirements under the dynamic changes of preferences. Therefore, the research on product visual image design based on behavior emotion preference analysis is proposed. By analyzing the behavior of use, purchase and feedback, the behavioral preference is determined, and the emotional preference is analyzed combined with sensory, emotional and value identification. The structural diagram of preference analysis is constructed and the weights are calculated. Using principal component modeling to obtain virtual imaging pixel matrix, extract visual features, encode product visual data, optimize color matching parameters, calculate complexity, derive and reconcile colors, and realize aesthetic color matching. According to the red, yellow and blue components, the color mode is converted, the color space is converted, and the product visual image design is completed. The experimental results show that all the deviation values of this method in the experimental stage are less than 0.3, and the results of product visual image similarity, product visual image saliency and product visual image adaptability are high, which can ensure the quality of display content. Using this method, the content of the product visual image can be displayed to users, and the market competitiveness and user satisfaction of the product can be improved.