牛肉眼肌图像在线采集和实时分割系统  

On-line Acquisition and Real-time Segmentation System of Beef Rib-eye Image

作　　者：逄滨[1] 孙啸[1] 刘德营[1] 陈坤杰[1] 

机构地区：[1]南京农业大学工学院,南京210031

出　　处：《农业机械学报》2013年第6期189-193,共5页Transactions of the Chinese Society for Agricultural Machinery

基　　金：国家自然科学基金资助项目(31071565);公益性行业(农业)科研专项资助项目(201303083)

摘　　要：根据肉牛屠宰现场牛肉自动分级的技术要求,设计并构建了一个以TMS320DM642处理芯片为核心的牛胴体眼肌图像在线采集和实时分割系统。首先利用所开发系统在线采集牛肉图像,然后通过蒙板方法,对所采集图像进行背景分割;由于DM642系统采用Y、Cb、Cr 3个色度分量来分别描述和存储图像,为节省算法处理的数据量,对Cr(红色)色度空间图像进行二值化处理,然后再用区域面积标记法和小区域消除法提取眼肌区域。实验结果表明,利用DM642系统能够实现牛肉图像的在线采集和眼肌区域分割,眼肌图像提取的准确率平均值为92.9%。A beef image on-line acquisition system based on TMS320DM642 was developed according to the technological requirements of beef automatic grading. The rib-eye beef images were collected online by using the developed system. Then a mask was constructed for background segmentation of each acquired image. As DM642 adopted three chrominance components of YCbCr model to display and save images respectively, in order to reduce calculating time, only Cr chrominance component of beef image was considered in the following image processing. After the Cr chrominance component of beef images were binarized, region labeling algorithms and small regions removing method were employed to extract the effective rib-eye region. Experiments showed that the proposed DM642 system could be used for beef image acquisition online and rib-eye region segmentation. The average extraction accuracy of effective rib- eye region was 92.9%.

关 键 词：牛肉眼肌 图像分割 数字信号处理器 

分 类 号：S24[农业科学—农业电气化与自动化] TP391.4[农业科学—农业工程]