基于HSV颜色特征的苹果病斑点检测系统设计与实现  

Design and Implementation of the Quality of Apple Surface Detection System Based on HSV 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,武汉430072

出　　处：《河南科学》2014年第8期1483-1485,共3页Henan Science

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项目(PDSU-QNJJ-2013005)

摘　　要：为提高苹果表面质量检测的效率,降低劳动强度,设计了苹果表面病斑点程度自动化检测软件系统,主要包括样本图像采集等预处理、HSV颜色过滤、苹果整体定位、整体像素统计、病斑点区定位、病斑点区像素统计等多种功能.以C#2005为开发平台,综合利用数字图像处理中的多种方法,通过对大量的数据样本进行测试,实验表明能够有效地对苹果图像进行精确检测.In order to improve the efficiency of apple surface quality detection and reduce the labor cost,we implemented 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 C#2005 as the development platform,the comprehensive use of various methods in digital image processing,the test results of a large number of data samples showed that it can effectively carry out accurate detection of apple image.

关 键 词：苹果表面质量 HSV颜色特征 自动化测量 缺陷区像素 

分 类 号：S436.611.19[农业科学—农业昆虫与害虫防治] TP391.41[农业科学—植物保护]