在MATLAB环境中基于计算机视觉技术的大米垩白检测

提出了利用计算机视觉系统代替人眼对垩白等大米质量参数进行自动检测的方法，以适应农业工程中的自动化的要求。为了验证检测方法的可行性，采用了MATLAB软件开发平台来构造基于计算机视觉的大米垩白检测算法。在对不同的大米图像处理的基础上，完成了对大米垩白参数垩白度和垩白粒率的测定。实验结果表明，本算法及程序设计是有效可靠的。

Computer Vision Based Rice Chalkiness Detection Using MATLAB

In this paper, an approach, which is used to detect such rice quality parameters as chalkiness automatically based on computer vision technology in place of human visual observation, is presented. The approach meets the needs of automation in the agricultural engineering. To verify the feasibility of the approach, the research develops an algorithm using MATLAB software. Experiments are conducted on different rice images to measure the chalkiness parameters, i.e. degree of chalkiness and rate of chalky grains. The results show that the approach is effective and reliable.