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《Henan Science》 2014-08
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Design and Implementation of the Quality of Apple Surface Detection System Based on HSV Color Features

Cheng Ronghua;Ma Fei;Shi Meng;Pingdingshan University;School of Remote Sensing and Information Engineering,Wuhan University;  
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.
【Fund】: 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)
【CateGory Index】: S436.611.19;TP391.41
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