基于计算机视觉技术的猕猴桃分级方法  

Chinese Goosebeery Stage Division Based on Computer Vision

作　　者：邵和鸿[1] 郑万挺[1] 彭加寅[1] 

机构地区：[1]温州医学院信息与工程学院生物医学工程系,浙江温州325035

出　　处：《北京生物医学工程》2009年第5期531-533,544,共4页Beijing Biomedical Engineering

摘　　要：手工猕猴桃分级存在耗时、费力、成本高、效果差等缺点,而计算机视觉技术分级具有速度快、信息量大、精确度高等优势。本文通过描述计算机视觉技术对猕猴桃的颜色、形状、大小等特征进行检测,进而进行分级处理,提高了工作效率的同时也降低了成本。Chinese goosebeery are manual classification with time-consuming, arduous, costly, less effective characteristics. However the computer vision technology has advantage of high speed, large information content,high precision etc. This paper describes the detection of Chinese goosebeery＇ s characteristics such as color, shape, size based on computer vision, and then to carry out stage treatment. The use of computer vision for Chinese goosebeery elassfication improves the work efficiency meanwhile reduce the cost.

关 键 词：猕猴桃 计算机视觉技术 颜色 形状 大小 分级处理 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]