农机化研究2017，Vol.39Issue(6)：242-244,3.
基于计算机视觉信息处理技术的苹果自动分级研究
Apple Automatic Grading Computer Vision Information Processing Technology
摘要
Abstract
With the rapid socio-economic development , people's consumption levels continue to increase , people are buying Apple its quality requirements are also getting higher and higher , the market is now on the quality of apple grading sales .In the traditional agro-processing operations , separating workers picking fruit and put them in bags or boxes on the ground , and then be transported manually to the trailer park where to be sent to the area of post -harvest packaging line . Note that this hierarchical model is inefficient , more importantly , which includes dead time , it is difficult to fully consid-er the situation of each apple , resulting classification accuracy and low labor utilization rate .The computer system has been widely used in precision agriculture , such as detecting and removing weeds yield grade , automatic harvesting of fruits and vegetables or agricultural products .How it works:computer vision acquisition variety of apple image feature ex-traction , using edge detection , image enhancement , image binarization image data processing method for image analysis acquisition , processing feature can set up multiple , according to the main characteristic parameters apple automatic grading.The results show that the traditional apple grade artificial separation method compared to using machine vision grade apples were separated , not only improve the accuracy of the apple grade separation , but also greatly save labor .关键词
苹果自动分级/计算机视觉/信息处理/特征提取/多特征Key words
apple automatic grading/computer vision/information processing/feature extraction/multiple featuresr分类
农业科技引用本文复制引用
苏欣..基于计算机视觉信息处理技术的苹果自动分级研究[J].农机化研究,2017,39(6):242-244,3.基金项目
承德市科学技术研究与发展计划项目 （）
