Automatic Detection of 'ROIs' for Plastic Bottle Classification

S. Ramli, M. Mustafa, A. Hussain, D. A. Wahab
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引用次数: 5

Abstract

Recycling is widely assumed to be environmentally beneficial, although the collection, sorting and processing of materials gives rise to some environmental impacts and energy use. Previously, plastic recycling are based on the material used. In this work, we propose a new approach to classify plastic bottle by implementing the viability of imaging technology for automated sorting. According to the original image of plastic bottle, there are obvious features that can discriminate between 2 classes of plastic bottles which are PET and Non-PET. The methodology involves an automatic detection of 'ROIs' from region segmented technique and proposed the histogram of pixel intensity algorithm in order to differentiate between 2 class of bottle; i.e PET and non-PET according to the property of transparency and opacity. The proposed technique shows ability to perform plastic bottle classification with more than 80% accuracy was obtained from this research.
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用于塑料瓶分类的“roi”自动检测
尽管材料的收集、分类和加工会产生一些环境影响和能源消耗,但人们普遍认为回收利用对环境有益。以前,塑料回收是基于使用的材料。在这项工作中,我们提出了一种新的方法来分类塑料瓶通过实现自动分拣成像技术的可行性。根据塑料瓶的原始形象,有明显的特征可以区分PET和Non-PET两类塑料瓶。该方法涉及到区域分割技术的roi自动检测,并提出了像素强度直方图算法,以区分两类瓶;根据透明和不透明的性质,即PET和非PET。该方法对塑料瓶进行分类,准确率达到80%以上。
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