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基于影像特征的边界点云数据曲线拟合 被引量:2

Curve fitting of boundary point cloud data based on image features
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摘要 影像特征是指图像的原始特性或属性,其中有些是视觉直接感受到的自然特征,如区域的亮度,边缘的轮廓;而有些则需要通过变换或测量才能得到的人为特征,如变换频谱、直方图。影像的特征在模式识别中具有重大意义。因此,文中采用基于影像特征的点云边界提取方法获取边界点云数据,然后通过三次B样条算法实现边界点云数据的曲线拟合。 Image feature is property and characteristic of the original image.Some are natural characteristics of visual direct experience,such as the brightness of area,the outline of edge.The others are artificial features which need can be alternated and measured,such as transform spectrum,histogram.The characteristics of image in pattern recognition is of great significance.Therefore,this paper proposes the boundary extraction method of the point cloud based on image features,in order to obtain boundary point cloud data,and achieves curve fitting of the boundary point cloud data with Cubic B-spline algorithm.
作者 刘丹 宋伟东
出处 《测绘科学》 CSCD 北大核心 2009年第S2期113-114,150,共3页 Science of Surveying and Mapping
关键词 点云 三次B样条曲线 边界提取 曲线拟合 point cloud Cubic B-spline Curve boundary extraction curve fitting
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参考文献5

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