摘要
本文综述了计算机视觉技术在粮食品质检测中常用的图像处理方法及应用,在特征识别上,主要从粮食的外观特征即颜色、形态和纹理三个方面来进行特征提取,进而实现对粮食品质的检测与分类,以达到农产品的分类识别。
This paper reviews the computer vision technology in food quality testing methods commonly used in image processing and application, the feature recognition, the main characteristic that from the appearance of food color, shape and texture classification, in order to achieve agricultural classification.
出处
《清远职业技术学院学报》
2011年第6期54-59,共6页
Journal of Qingyuan Polytechnic
关键词
计算机视觉
图像分割
谷物特征提取
Computer vision
Image segmentation
Grain feature extraction
