节点文献
用遗传神经网络方法进行苹果颜色自动检测的研究
Study on Automated Color Inspection of Apples Using Genetic Neural Network
【摘要】 该文通过计算机视觉技术获取苹果的色度直方图并提取其表面颜色特征,采用先进的遗传算法建立了一个多层前馈神经网络系统,从而实现了苹果成熟度的自动判别。实测表明,该方法准确率较高,并具有鲁棒性、灵活性和高速度。
【Abstract】 The external color feature of apples was extracted from the hue histograms using computer vision technology. With the advanced Genetic Algorithms, a three layer feed forward neural network system was established, which can realize on line automated judgment for maturity degree of apples. This method was proved to be robust, flexible , high speed as well as accurate.
【关键词】 苹果颜色;
计算机视觉;
人工神经网络;
自动检测;
【Key words】 Computer vision Artificial neural network Color inspection;
【Key words】 Computer vision Artificial neural network Color inspection;
【基金】 吉林省科委基金
- 【文献出处】 农业工程学报 ,THANSACTIONS OF THE CHINESE SOCIETY OF AGRICULTURAL ENGINEERING , 编辑部邮箱 ,1997年02期
- 【分类号】TP3:S661.1
- 【被引频次】94
- 【下载频次】358