基于卷積神經網絡的石材鑲嵌工藝顏色匹配方法

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中圖分類號：TP399；TU564.2 文獻標志碼：A 文章編號：1000-5013（2025）04-0393-07

Color Matching Method for Stone Tessellation Process Based on Convolutional Neural Network

XIE Biaofeng CHEN Shouhong HUANG Jixiang LI Jian xin HUANG Shengui

（1.Institute of Manufacturing Engineering，Huaqiao University，Xiamen 36lO21，China; 2.Nan'an-HQU Institute of Stone Industry Innovations Technology，Quanzhou 362342，China; 3.College of Mechanical Engineering and Automation，Huaqiao University，Xiamen 361o21，China）

Abstract：To addres the problem of time-consuming manual material selection and unstable product quality in the stone tesselation process，a color matching method based on convolutional neural network model is proposed. Stone samples scanned from the production workshop were preprocessed to construct the stone image dataset. Diferent convolutional neural networks were trained to screen out the best stone classification model. In order to validate the models effectiveness，the color region of the target image was extracted and used as the input for actual production. The results demonstrated that the products produced using the proposed method were excellent in terms of color consistency，and the visual perception effect was highly similar.The proposed method significantly improve the eficiency of stone selection and ensure the stability of product quality.

Keywords：tessellation process；stone classification；convolutional neural network；process optimization

石材鑲嵌產品具有深厚的歷史與文化積淀，活躍于許多公共藝術舞臺及家庭裝飾中[1-3]。（剩余7970字）