Grottoes color analysis based on image processing and its application in environmental design

This study aims to explore the grotto color analysis based on image processing and its application in environmental design. By using multispectral and hyperspectral imaging techniques, we collected and analyzed the color information of grotto murals in detail, applied to cultural heritage protection, modern architectural design and interior beautification. Color histogram, convolutional neural network (CNN), K-means clustering techniques were used to preprocess image data, feature extraction and pattern recognition. The results show that these techniques can effectively improve the accuracy of color restoration and provide scientific color application scheme for environmental design.