世界林业研究2025，Vol.38Issue(4)：61-68,8.DOI:10.13348/j.cnki.sjlyyj.2025.0067.y
铣削加工竹制品表面缺陷分类及数据集的构建
Classification of Surface Defects on Milled Bamboo Component and Their Dataset Construction
摘要
Abstract
Accurate detection of surface defects in bamboo product processing is critical for improving quality,and existing detection models are however constrained by scarcity of high-quality datasets to achieve the complete detection,particularly for defects on the surface of milled bamboo materials.Focusing on the surface defects,this study uses a high-resolution industrial camera to capture 8 types of defects,including burrs,cracks,and mildew,on semi-finished bamboo toothbrush handles,and applies a data augmentation method to expand minority-class samples,so as to construct the bamboo milling surface defect(BMSD)dataset comprising 4 162 images.Twelve architectures,including single-stage,two-stage and Transformer-based DETR architectures are trained and evaluated to validate the effectiveness of BMSD dataset in the detection.Furthermore,gradient heat-maps characterizing defect density are generated to reveal distribution patterns and formation mechanisms of the defects,and their correlations with environmental and processing factors.The BMSD dataset supports defect detection model training and provides data support for research on milling process optimization and quality control.关键词
铣削加工/竹制品表面缺陷/数据集构建/缺陷检测/深度学习Key words
milling processing/bamboo product surface defect/dataset construction/defect detection/deep learning分类
轻工纺织引用本文复制引用
刘子毅,吴安琪,张文福,张建,郑洁锋,赵莹,王进..铣削加工竹制品表面缺陷分类及数据集的构建[J].世界林业研究,2025,38(4):61-68,8.基金项目
浙江省科技厅2025年度浙江省"尖兵领雁+X"科技计划项目"竹材高效集运与数智化加工利用关键技术及装备研究"(2025C02202) （2025C02202）
浙江省省属科研院所专项"竹材初加工单元机械化分选和性能检测研究"(2024F1068-3). （2024F1068-3）
