机器视觉在花椒品种鉴别中的初步研究OA北大核心CSCDCSTPCD
A Preliminary Study of Zanthoxylurn Bungeanum Maxim Varieties Discriminating by Computer Vision
花椒是一种重要的烹饪调料和中药配料.本文将机器视觉技术引入到花椒品种的快速鉴别中,通过机器视觉硬件装置获取6类花椒样品图像共90幅,其中60幅作为训练样本,30幅作为测试样本.对所有样本分别提取了颜色和纹理的共10个特征参数,利用概率神经网络对特征数据进行鉴别,正确识别率为93.33%.本文研究的基于机器视觉的花椒品种鉴别方法可以快速准确地提取花椒样品的特征数据,为批量分选花椒奠定了技术基础.
Zanthoxylurn Bungeanum Maxim is a kind of important ingredients for cooking and traditional Chinese medicine. In this paper,the computer vision technology was introduced to discriminate the varieties of Zanthoxylurn Bungeanum Maxim rapdily. The Zanthoxylurn Bungeanum Maxim image of six categories were obtained by the com-puter vision hardware device,and the total number of images was 90,of which 60 were used as training samples and 30 as test samples. The 10…查看全部>>
吴莉莉;邢玉清;郑宝周;林爱英
河南农业大学理学院,郑州450002河南农业大学理学院,郑州450002河南农业大学理学院,郑州450002河南农业大学理学院,郑州450002
信息技术与安全科学
机器视觉颜色特征纹理特征概率神经网络花椒
computer visioncolor featuretexture featureprobabilistic neural networkZanthoxylurn Bungeanum Maxim
《传感技术学报》 2016 (1)
136-140,5
河南省科技攻关计划项目(142102110054)河南省教育厅科学技术研究重点项目(12A510014)
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