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Digital Image Processing based proposed approach to Identify Different Bamboo Species

机译:基于数字图像处理的识别不同竹种的建议方法

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Assam is one of the biodiversity hotspot in India. Most of the village people of Assam somehow depended on bamboo trees found in this area. Identification of bamboo species is very crucial because every species has its unique use. Manual bamboo identification is time consuming and an erratic practice. In general, species are recognized from their parts like stem, internodes distance, leaves, culm-sheaths, flowers etc. This paper discusses a new approach for bamboo species recognition using digital image processing technique. The proposed work uses characteristics of stem and leaf for classification. Also an algorithm is developed to make our approach easier and eliminate the overlapping characteristics of tree parts like stem and leaf. A database is created by capturing the photographs of bamboo parts with a high resolution camera. The digital image processing techniques are used here for classification. Till today there is no specific software for bamboo species identification in this region of India.
机译:阿萨姆邦是印度的生物多样性热点之一。阿萨姆邦的大多数村民都以某种方式依赖于该地区发现的竹树。鉴定竹子物种至关重要,因为每种物种都有其独特的用途。手动识别竹子既费时又不稳定。通常,从茎,节间距离,叶片,茎鞘,花朵等部位识别物种。本文讨论了一种利用数字图像处理技术识别竹子物种的新方法。拟议的工作利用茎叶的特征进行分类。还开发了一种算法,使我们的方法更容易,并消除了茎和叶等树木部分的重叠特征。通过使用高分辨率相机捕获竹子零件的照片来创建数据库。这里使用数字图像处理技术进行分类。到今天为止,印度该地区还没有用于识别竹种的特定软件。

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