1.College of Furnishings and Industrial Design，Nanjing Forestry University，Nanjing 210037，Jiangsu，China
2.Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources，Nanjing 210037，Jiangsu，China
3.Institute of Chemistry & Industry Forest Products，Chinese Academy of Forestry，Nanjing 210042，Jiangsu，China
4.Dehua TB New Decoration Material Co.，Ltd.，Deqing 313200，Zhejiang，China
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王祺,冯鑫浩,史诗琪等.机器视觉在木制品制造中的应用[J].木材科学与技术,2022,36(05):17-24.
WANG Qi,FENG Xin-hao,SHI Shi-qi,et al.Application of Machine Vision in Manufacturing of Wood Products[J].Chinese Journal of Wood Science and Technology,2022,36(05):17-24.
在概述机器视觉国内外研究现状的基础上，分析基于机器视觉技术的图像采集、特征提取、识别分类等理论与算法研究；重点阐述机器视觉在木制品原材料树种识别、原木检尺和锯材分等、木制品缺陷检测、木制品表面颜色分析等领域的应用，并结合当前家居企业生产制造的发展现状，提出机器视觉在木制品制造领域的发展趋势，为木制品智能制造提供技术基础。
In this study, the theoretical and algorithmic research on the image acquisition, feature extraction, recognition, and classification involved in machine-vision-based wood recognition technology were analyzed based on the development status both in the domestic and international furniture manufacturing. Furthermore, the applications of machine vision in the intelligent manufacturing of wood products, such as the identification of tree species, wood inspection and classification, defect detection, surface color analysis, and quality control of furnishing products were thoroughly examed. The development trend of machine vision in the manufacturing of wood products was put forward with the consideration of the current development of wooden furnishing enterprises. These findings provide a solid foundation for not only the research in the wood science but also the manufacture of wood products.
机器视觉木材工业木制品深度学习缺陷检测质量管控
machine visionwood industrywood productsdeep learningdefects detectionquality control
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