CAJ | 학술논문

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。
위제고평과표면질량검측적효솔，강저노동성본적투입，설계료평과표면질량자동화검측계통，기주요포괄용호등록、양본도상채집、안색과려、평과정위，완호구상소、결함구정위、결함구상소、수거처리화인공학습등다충공능。이 VS．net2005위개발평태，종합이용수자도상처리중적각충방법，통과대대량적수거양본진행측시，능구유효지대평과도상진행정학검측，구유경위엄범적추엄개치。
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.net2005 as the development platform,the comprehen-sive 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.