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Quality evaluation of cut roese by stem's curvature (part 3) --stem detection by relaxation method and robust parameter estimator to outiler--

机译:通过茎的曲率对切花的品质进行评估(第3部分)-通过松弛法进行茎检测以及对流水线进行鲁棒的参数估计

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摘要

A rose's stem was extracted using xy chromaticity, which was converted from XYZ color system. The 2D stem shape was measured by SNAKES, which was one of relaxation methods. SNAKES could detect the stem's outline precisely even if the image might contain some noises. The measurement error of the 2D and 3D stem shape was lower than some old methods reported in the previous papers. The Least Median of Squares method was more robust to the outliers than Least Mean Squares method to estimate the parameters of the stem's rotary motion.
机译:使用xy色度提取玫瑰的茎,该色度是从XYZ颜色系统转换而来的。通过放松方法之一的SNAKES测量2D茎的形状。即使图像可能包含一些噪点,蛇也可以精确地检测出茎的轮廓。 2D和3D杆形的测量误差低于以前论文中报道的一些旧方法。与最小均方方法相比,最小二乘方方法对异常值的鲁棒性强于估计茎杆旋转运动的参数。

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