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Diatom recognition by convex and concave contour curvature

机译:通过凸和凹入轮廓曲率识别硅藻识别

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In this paper we describe a new contour feature set. A contour is segmented into convex, concave and straight segments, after which length and curvature features are computed. A symmetry analysis allows the detection of the number of elementary segments. Results on two contour test sets were obtained: Using only four features, a simple nearest-mean classifier yielded a perfect identification (ID) rate of 100% on a small set consisting of shapes with minute differences, which are difficult to identify even for human experts. Using 10 features, it yielded 83.5% on a large set with very diverse shapes.
机译:在本文中,我们描述了一个新的轮廓功能集。将轮廓分段为凸形,凹形和直线段,之后计算长度和曲率特征。对称分析允许检测基本段的数量。结果在两个轮廓测试集上获得:使用四个特征,简单的最近平均分类器产生完美的识别(ID)速率100%的小型,其中一块具有微小差异的形状,这难以识别人类专家。使用10个功能,它在具有非常多样化的形状的大型套件上产生了83.5%。

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