肉类研究2013，Vol.27Issue(4)：10-14,5.
边缘检测、二值化处理进行牛肉分级的应用
Application of Edge Detection and Binarization for Beef Grading
摘要
Abstract
Automatic eigenvalue estimation of beef ribeye cross-section images through image processing lays the foundation for automatic beef quality grading based on computer vision technique.Digital images of the carcass cross section between the sixth and seventh ribs were subjected to feature extraction and detection of characteristic parameters (ribeye area,fat area ratio,total muscle area ratio,average fat distribution,the roundness ofribeye area and ribeye muscle and fat colors) by edge detection and binarization based on Visual C ++ 6.0.Our results showed that larger ribeye areas had better roundness,higher chromatic values of muscle and fat and more uniform distribution of marbling,indicating better quality.On the contrary,lower-quality ribeyes had smaller areas,lower roundness values and chromatic values of muscle and fat and uneven distribution of marbling.The described design enables effective calculation of ribeyc areas and characteristic parameters and consequent automatic identification of beef quality grades and can be an alternative to routine grading methods.关键词
牛肉分级/边缘检测/二值化处理/自动分级Key words
beef grading/ edge detection/ binarization/ automatic classification分类
轻工纺织引用本文复制引用
张丽,李艳梅,孙宝忠,余群力..边缘检测、二值化处理进行牛肉分级的应用[J].肉类研究,2013,27(4):10-14,5.基金项目
国家公益性行业(农业)科研专项(201203009) （农业）
甘肃省青年科技基金项目(1107RJYA064) （1107RJYA064）
国家现代农业(肉牛牦牛)产业技术体系建设专项(CARS-38) （肉牛牦牛）
