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A New Method to Classify Leaves Using Data Visualization: Spreading Awareness About Global Warming

机译:使用数据可视化对叶片进行分类的新方法:传播对全球变暖的认识

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Nature - an overwhelmingly creation of the God. Our nature is consists of total 390,800 species of plants, is decreasing due to numerous reasons. Existing research indicates that the Global warming is one of the leading causes of this reduction and strong steps need to be taken to address this problem. Through this paper, we are trying to spread awareness about different plant species with believe that it might be useful to reduce the Global warming. We propose a new method to classify leaves using data visualization. The proposed method uses a database of maintained plant species, which then used for classification purpose that utilizes image processing techniques. The proposed method relies on shape properties such as area, perimeter, centroid and bounding box values. We use image processing toolbox (available with MATLAB) to determine shape properties of the leaf samples of 11 different plant species. Experimental results are collected and presented using the scatter graph, which divides the samples into two different groups.
机译:大自然 - 一个绝大陆创造了上帝。我们的性质由总共390,800种植物组成,由于众多原因,造成的减少。现有研究表明,全球变暖是这种减少的主要原因之一,需要采取强力步骤来解决这个问题。通过本文,我们试图对不同植物物种的意识传播,相信减少全球变暖可能是有用的。我们提出了一种使用数据可视化对叶片进行分类的新方法。该方法使用维护植物物种的数据库,然后用于使用图像处理技术的分类目的。所提出的方法依赖于形状特性,例如区域,周长,质心和边界框值。我们使用图像处理工具箱(MATLAB可用)来确定11种不同植物物种的叶样品的形状特性。使用散射图收集和呈现实验结果,该散射图将样品分成两组。

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