华侨大学学报（自然科学版）2025，Vol.46Issue(4)：393-399,7.DOI:10.11830/ISSN.1000-5013.202503023
基于卷积神经网络的石材镶嵌工艺颜色匹配方法
Color Matching Method for Stone Tessellation Process Based on Convolutional Neural Network
摘要
Abstract
To address the problem of time-consuming manual material selection and unstable product quality in the stone tessellation process,a color matching method based on convolutional neural network model is pro-posed.Stone samples scanned from the production workshop were preprocessed to construct the stone image dataset.Different convolutional neural networks were trained to screen out the best stone classification model.In order to validate the model's 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 efficiency of stone selection and ensure the stability of product quality.关键词
镶嵌工艺/石材分类/卷积神经网络/工艺优化Key words
tessellation process/stone classification/convolutional neural network/process optimization分类
信息技术与安全科学引用本文复制引用
谢标峰,陈首虹,黄吉祥,李建新,黄身桂..基于卷积神经网络的石材镶嵌工艺颜色匹配方法[J].华侨大学学报（自然科学版）,2025,46(4):393-399,7.基金项目
福建省科技计划资助项目(2022H0018) （2022H0018）
