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On-line segmentation of freehand sketches by knowledge-based nonlinear thresholding operations

机译:基于知识的非线性阈值操作在线分割手绘草图

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摘要

This paper describes an on-line procedure for segmenting freehand sketches into 2D primitives and smooth curves by knowledge-based nonlinear thresholding operations. Drawing position, direction, speed and acceleration information is used for establishing fuzzy knowledge and inferring user's intention. The procedure can be divided into three stages: (1) obtaining corner points based on the fuzzy knowledge and adaptive thresholds, which includes detecting “obtuse” and “acute” corner points; (2) finding smooth join points, during which stage we use both curve linearity and curvature; and (3) classifying the sketches into the corresponding curves according to curve linearity and changes of curve convexity. The method is illustrated and tested with a number of sketches.
机译:本文介绍了一种在线过程,该过程可通过基于知识的非线性阈值操作将徒手草图分割为2D图元和平滑曲线。绘制位置,方向,速度和加速度信息可用于建立模糊知识并推断用户意图。该过程可以分为三个阶段:(1)基于模糊知识和自适应阈值获取拐角点,包括检测“钝角”和“急性”拐角点; (2)找到平滑的连接点,在此阶段我们同时使用曲线的线性度和曲率; (3)根据曲线的线性度和曲线的凸度的变化将草图分为相应的曲线。对该方法进行了说明并通过许多草图进行了测试。

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