基于机器视觉的苹果外观缺陷在线检测  

On-line Detection of Apple Surface Defect Based on Image Processing Method

作　　者：赵娟[1] 彭彦昆[1] Sagar Dhakal 张雷蕾[1] 

机构地区：[1]中国农业大学工学院,北京100083

出　　处：《农业机械学报》2013年第S1期260-263,共4页Transactions of the Chinese Society for Agricultural Machinery

基　　金：公益性行业(农业)科研专项经费资助项目(201003008)

摘　　要：为了能够在分选中正确地检测出表面存在缺陷的水果,提高苹果的分级水平,设计了一套基于机器视觉技术检测水果外观缺陷的系统。该系统主要包括单通道在线传送装置、图像采集装置及分选装置,其中图像采集装置的硬件主要包括一个加有635 nm滤光片的CCD相机和两面平面镜。基于VS2010平台开发了在线控制软件。苹果在传送装置上旋转前行过程中,相机在3个位置上采集包含平面镜中镜像在内的单个样品的9个不同角度的图像信息。利用数字处理方法分析苹果表面的缺陷,提出利用面积比来判断水果缺陷大小。实验结果表明苹果表面缺陷的总检测正确率为92.5%。A machine vision system for detecting bruise on apple surface was developed.The system was consisted of single-channel transfer unit,image acquisition unit and classification unit.A CCD camera with a 635 nm filter and two plane mirrors were used to acquire the image of overall surface of apple sample.The system was designed to rotate apple at three different positions in the conveyor running,acquiring nine images of same apple.Digital image processing method was used to analyze sample defects.Ratio between black pixels and all pixels was calculated and compared with a fit value to judge the bruise area.The detection accuracy of the system for sample was 92.5%.

关 键 词：苹果 外观缺陷 图像处理 在线检测 

分 类 号：TS255.7[轻工技术与工程—农产品加工及贮藏工程] S661.1[轻工技术与工程—食品科学与工程]