摘要
提出了一种基于色调的黄粒米检测算法。通过对标准米和黄粒米图像色调直方图的分析和研究,提出了以黄色区域的频度均值作为特征参数,区分标准米和黄粒米。研究结果表明,该算法的识别精度大于90%,可以有效地检测黄粒米。
A new algorithm based on hue was developed, which could be used for detecting and classifying yellow rice kernels. The mean of pixel numbers in rice particle area, which represents yellow color, was selected as a color criterion to distinguish yellow rice kernels from the standard ones by comparison of these two kinds of rice images with a hue histograms. The experimental results showed that the detection accuracy is higher than 90% by using this method.
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2005年第8期78-81,共4页
Transactions of the Chinese Society for Agricultural Machinery
基金
教育部留学回国人员科研启动基金资助项目(项目编号:230222001)
"九五"国家科技攻关计划资助项目(项目编号:99-010-01-12)
关键词
大米
图像处理
机器视觉
Rice, Image processing, Machine vision