基于颜色特征的苹果表面质量检测系统设计与实现  

Design and Implementation of the Quality of Apple Surface Detection System Based-on Color Features

作　　者：程荣花[1] 马飞[1,2] 石梦[1] 

机构地区：[1]平顶山学院,河南平顶山467000 [2]武汉大学遥感信息工程学院,湖北武汉430072

出　　处：《辽宁农业科学》2014年第3期22-24,共3页Liaoning Agricultural Sciences

基　　金：河南省科技计划重点项目(112102210333);平顶山学院青年科研基金(PDSU-QNJJ-2013005)

摘　　要：为提高苹果表面质量检测的效率,降低劳动成本的投入,设计了苹果表面质量自动化检测系统,其主要包括用户登录、样本图像采集、颜色过滤、苹果定位,完好区像素、缺陷区定位、缺陷区像素、数据处理和人工学习等多种功能。以VS.net2005为开发平台,综合利用数字图像处理中的各种方法,通过对大量的数据样本进行测试,能够有效地对苹果图像进行精确检测,具有更为广泛的推广价值。In order to improve the efficiency of apple surface quality detection and reduce the labor cost,this paper implements the apple surface quality automatic detection system,including user login,the sample image acquisition,color filter,apple positioning,function well area of a pixel,defect location,defect region pixels,data processing and artificial learning etc..Using VS.net 2005 as the development platform,the comprehensive use of various methods in digital image processing,based on the test of a large number of data samples,and it can effectively carry out accurate detection of apple image and there is more extensive application value.

关 键 词：苹果表面质量 颜色特征 自动化测量 缺陷区像素 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]