Automatic Color-Matching Model of Environmental Art Based on Visual Matching by Using IoT

In order to improve the matching effect of environmental art color automatic matching, a model based on visual is designed. Firstly, it preprocesses art, then extracts space and its main color, analyzes deviation. At same time, established quantization processed, finally realized. The experimental results show that time proposed less than traditional model, wrong contour less. Research Objective. A color-automated developed in matching. Current Challenges. Because constraints, still has certain drawbacks, necessitating more optimization research subsequent study. steps are pretreatment before extraction, deviation analysis, modeling, processing, implementation comparison.