基于计算机视觉的粒度检测方法研究  

Research on the Mensuration of Grain Size Using Computer Vision

作　　者：蔡健荣[1] 赵杰文[1] 方如明[1] 

机构地区：[1]江苏大学

出　　处：《农业工程学报》2002年第3期161-164,共4页Transactions of the Chinese Society of Agricultural Engineering

摘　　要：利用计算机视觉技术进行超微粉碎物料粒度检测方法的研究。采用非线性变换对图像进行对比度增强处理 ,利用自动取阈值算法分割目标和背景 ,设计了识别算法用于去除凝聚颗粒 ,以得到样本真实粒度和分布。实验证明用显微图像进行粒度检测 ,测定分布状态直观明了 ,检测结果稳定 ,可测量 0 .1～ 15This paper deals with the mensuration of super micronized granule using computer vision. Image constrast was strengthened by non linearity transformation, and target was segmented from background using auto threshold algorithm. A recognition algorithm was designed to remove agglomerate granule in order to get real granule sizes and layout of samples. Experiments prove that this method of micro image inspection of granule sizes can determine layout status directly perceived through the senses. The device can detect granule size from 0.1 μm to 150 μm and the result of inspection is stable.

关 键 词：检测方法 粒度 图像处理 测量 计算机视觉技术 食品添加剂 功能性食品 

分 类 号：TS202.3[轻工技术与工程—食品科学] TP391.41[轻工技术与工程—食品科学与工程]