传感技术学报2016，Vol.29Issue(1)：136-140,5.DOI:10.3969/j.issn.1004-1699.2016.01.023
机器视觉在花椒品种鉴别中的初步研究
A Preliminary Study of Zanthoxylurn Bungeanum Maxim Varieties Discriminating by Computer Vision
摘要
Abstract
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 feature parameters of color and texture features were extracted from all the samples,which were identified by the probabilistic neural network. The correct recognition rate was 93.33%. The discrimination method of Zanthoxylurn Bungeanum Maxim varieties by computer vision can quickly and accurately extract the char-acteristic data of the Zanthoxylurn Bungeanum Maxim samples,which lays the technical foundation for batch sorting.关键词
机器视觉/颜色特征/纹理特征/概率神经网络/花椒Key words
computer vision/color feature/texture feature/probabilistic neural network/Zanthoxylurn Bungeanum Maxim分类
信息技术与安全科学引用本文复制引用
吴莉莉,邢玉清,郑宝周,林爱英..机器视觉在花椒品种鉴别中的初步研究[J].传感技术学报,2016,29(1):136-140,5.基金项目
河南省科技攻关计划项目(142102110054) （142102110054）
河南省教育厅科学技术研究重点项目(12A510014) （12A510014）
