摘要
应用计算机图像分析技术 ,在建立客观、准确的测定白麦角质率和硬度的方法方面进行了初步的探讨。通过实验 ,对 13种白麦以国标目视法测定其角质率 ,以抗粉碎硬度指数作为其硬度。然后用反射扫描方式采集图像 ,并加以分析 ,选择了与小麦角质率和硬度显著相关的特征色泽参数 ,建立了测定角质率和硬度的线性回归方程 。
The quantitative determination of vitreosity and hardness of white wheat was investigated by image analysis. The pulverizing resistance index of 13 kinds of white wheat were determined as hardness of each sample. The images of 13 kinds of white wheat (cross-section of kernels) were aquirred in reflecting light and analyzed in RGB, CMYK, Lab and gray format. An excellent relationship was established between optimum color parameters and PRI or vitreosity of white wheat. The linear regression equations were obtained.
出处
《粮食与饲料工业》
CAS
2002年第4期44-45,共2页
Cereal & Feed Industry
关键词
白麦
硬度
角质率
测定
小麦
图像分析
回归系数
white wheat
vitreousness
hardness
pulverizing resitance index
digital image analysis
regression coefficient
