基于BP神经网络对废旧塑料按颜色分类的方法研究  

Research on Classification Method of Waste Plastics by Color Based on BP Neural Network

作　　者：蔡军[1] 杨艳娟[1] 

机构地区：[1]华南理工大学工业装备与控制工程学院,广东广州510640

出　　处：《塑料工业》2007年第8期66-69,共4页China Plastics Industry

摘　　要：在废旧塑料按材料分类的基础上,进一步提出了对废旧塑料按颜色分类的构想,首先对废旧塑料颜色空间进行特征提取,选取了基于I1,I2,I3颜色空间的模式,并利用神经网络对各种颜色进行模式识别,实现了对废旧塑料按颜色分类,并设计了一套试验装置。Based on the classification of waste plastics according to different materials, the classification of waste plastics by color was proposed. First, the color space of the waste plastics was extracted by feature, and se-lected the space model based on I1, I2, I3 color space. Then neural network was applied to the recognition of color pattern, which could classify the waste plastics by color, and a set of pilot equipment for the classification was designed.

关 键 词：模式识别 颜色空间 特征提取 神经网络 废旧塑料 

分 类 号：TQ320.9[化学工程—合成树脂塑料工业]