【摘要】 利用具有USB接口的CMOS摄像头和VFW技术构建了牛胴体分级信息自动采集系统。提出眼肌切面分级特征的测量和分析方法,采用计算机图像分析理论提取眼肌面积、背膘厚度、大理石花纹等级,并提出了评价大理石花纹等级的指标。背膘厚度的提取准确率平均值为92.72%,标准偏差为4.75;眼肌区域提取准确率的平均值为94.84%,标准偏差为2.52。利用BP神经网络对大理石花纹的等级进行建模、验证,准确率达到了94.74%,满足牛胴体分级信息自动采集系统的准确性要求。更多还原

【Abstract】 A camera with UBS interface and CMOS chip and Video for Window(VFW)technology were used to develop a computer vision system to obtain the image of beef ribeye section for acquiring grading information.The measuring and analysis methods of the grading features were introduced.The features,such as ribeye area,backfat thickness,marble distribution,muscle and fat colors were extracted by computer image analysis.Four parameters that represent the grading of beef marbling were determined.The accuracy(mean±standard deviation)of backfat thickness was(92.72±4.75)%,and that of ribeye area was(94.84±2.52)%.Assessment of grading of beef marbling was performed with back-propagation neural network,and the mean accuracy was 94.74,which meet the practical accurate requirement of computer vision system.更多还原