图像分割中采用自适应3次B样条修饰轮廓线

提出了一种在图像分割中获得连续光滑轮廓线的方法，该方法先以动态京都科像的全局最小累积代价阵，并从累积代价梯度降低最快的方向提取全局最优的轮廓线，然后用一种自适应3次B样条对获得的线进行修饰和平滑处理。该样条可根据轮廓线不同处的曲率变化情况，自适应地调整控制点的分布，在各类图像上的试验表明，该方法能有效地消除轮廓线上的小锯齿，获得较其它方法更平滑的曲线，同时又保留了轮廓线的特征细节。

CONTOURS EMBELLISHMENT USING ADAPTIVE CUBIC B-SPLINE IN IMAGE SEGMENTATION

A novel method to get smooth contour in image segmentation process was presented. First, dynamic programming algorithm was adopted to process the least cumulative cost matrix of object image, and the optimum contour was extracted along the direction that the cumulative costs descend fastest. Then the contour was smoothened and fitted by using adaptive cubic B spline, which adjusts the distribution of control points adaptively according to the contour curvature. Experiment results of many images showed that this method could effectively suppress tiny zigzags on contours and could produce smoother contour curve than other previous methods without losing the fine structures of the contours at the same time.