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High-performance image contour delineation method based on piecewise cubic Bezier curves fitting

机译:基于分段三次贝塞尔曲线拟合的高性能图像轮廓勾画方法

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摘要

Digital image contour is rich in image information, many applications are based on accurate tracking of the target contour. Image contour features fuzziness and non-uniformity, so that contour extraction method based on automatic delineation can easily cause inaccurate partition, while manual partition method has poor efficiency and instantaneity. Considering accuracy and efficiency of two-dimensional (2-D) contour delineation, a high-performance digital image contour delineation method based on piecewise cubic polynomial Bezier curve fitting is established in this paper. The experiment results demonstrate that this method is easy to realize, simple to calculate and applicable for various computer hardware platforms. Specific to different partition objects, anchors with an appropriate quantity can adopt to regional geometric shapes and raise efficiency, accuracy and precision of contour tracking.
机译:数字图像轮廓包含丰富的图像信息,许多应用都是基于对目标轮廓的精确跟踪。图像轮廓具有模糊性和不均匀性,因此基于自动轮廓的轮廓提取方法容易造成分割不准确,而手动分割方法的效率和即时性较差。考虑到二维(2-D)轮廓轮廓的准确性和效率,建立了一种基于分段三次多项式贝塞尔曲线拟合的高性能数字图像轮廓轮廓方法。实验结果表明,该方法易于实现,计算简单,适用于各种计算机硬件平台。针对不同的分区对象,可以使用适当数量的锚来适应区域几何形状,从而提高轮廓跟踪的效率,准确性和精度。

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