一种基于二值图像的形状分割算法研究

Research of the shape segmentation algorithm based on binary image

提出一种基于二值图像的形状分割方法。该方法首先对图像边界进行处理,提取边界凹角点,然后对图像的形状骨架的分支进行分析,结合这两者的信息进行分割。通过修剪骨架分支的长度来消除噪声干扰,同时控制图像的分割子区域的大小及个数,有效提高了算法的效率和分割精度。与其他算法相比,本算法能根据后续处理需要将剪纸图像分割为若干子区域,为提高后续处理的效率和结果优化提供了可靠的基础,分割结果更适合后续的剪纸图像变形处理。

A method of shape segmentation to binary image based on concave corners and shape skeleton is proposed in this paper.It combines the two methods,distills cancave corners and skeleton＇s embranchments to segmentation,through shear the length of skeleton＇s embranchment to delete noise jamming and control the size and number of intersected area.It adequently applied the advantage of two methods,increased the efficiency and processing precision of segmentation algorithm,and attained better result.Compared with other algorithms,this algorithm can divided paper-cut image into several sub-regions according to the follow-up need,providing a reliable basis for follow-up processing efficiency and the optimization of results,segmentation results are more suitable for follow-up paper-cut image deformation processing.