摘要
建立了一个基于计算机视觉技术检测鸡蛋的内外品质特性,采用LM神经网络进行分类识别的系统。该系统通过提取鸡蛋的蛋型指数、裂纹及污垢、蛋形尺寸等特征,实现利用神经网络的最优模型完成鸡蛋的分级检测,正确识别率达到87%。
A system based on computer vision was built to detect egg's external quality and its internal quality,which using LM neural network to grade fresh hen egg.The system can achieve detecting and grading of fresh hen egg by extracting egg shape index,broken and dirty egg and egg size and so on in the optimized model of neural network,the radio of accuracy is 87%.
出处
《计算机应用》
CSCD
北大核心
2008年第S2期375-377,共3页
journal of Computer Applications
关键词
鲜鸡蛋
计算机视觉
蛋型指数
检测
分级
fresh hen egg
computer vision
egg shape index
detecting
grading
