Identification of plastics using wavelets and quaternion numbers

Identification of plastics using wavelets and quaternion numbers
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DOI:
10.1088/0957-0233/15/2/009
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发表时间:
2004-02-01
影响因子:
2.4
通讯作者:
Oller, JC
Oller, JC
中科院分区:
工程技术3区
文献类型:
--
作者:
Barcala, JM;Fernández, JL;Oller, JC

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近年来,回收部门已成为一个充满活力的经济活动。它变得越重要,为了增加利润,就越需要自动化。本工作描述了一个自动分类系统的建设,塑料容器在生活垃圾。该系统利用不同的近红外光谱从塑料的经济利益。利用声光可调谐滤波器技术,可以很快地获得这些光谱。通过基于小波的算法在线处理光谱数据以实现正识别。选择小波是因为其抗噪性和易于实现。该算法利用小波变换,以较少的数据获得表征原始信号的系数集。即使有这些减少的数据,信号也保留了足够的信息,能够对每种类型的塑料材料进行分类。系数集用于构造四元数。使用校准方法,获得每种类型的塑料的标准四元数。通过计算这些标准四元数与容器的测量四元数之间的欧氏距离,可以对容器进行分类。
In recent years the recycling sector has become a vigorous economic activity. The more important it becomes, the more automatism is required in order to increase the profit. This work describes the construction of an automatic classification system for plastic containers in domestic wastes.The system takes advantage of the different near infrared spectra from the plastics of economic interest. These spectra can be obtained very quickly by means of the acousto-optic tunable filter technology. Spectral data are processed on line by means of an algorithm based on wavelets to achieve a positive identification. Wavelets are chosen because of their noise immunity and their easy implementation. Once identified, the containers can be taken from the conveyor belt by using a pneumatic system.The algorithm uses the wavelet transform in order to obtain a coefficient set that characterizes the original signal with few data. Even with these reduced data the signal keeps enough information to be able to classify each type of plastic material. The coefficient set is used to construct a quaternion number. Using a calibration method, a standard quaternion is obtained for each type of plastic. A container can be classified by calculating the Euclidean distances among these standard quaternions and the measured quaternion of the container.