【摘要】 复杂的计算限制了基于Chan-Vese(C-V)水平集模型的图像分割方法的应用。为提高图像分割的速度,提出一种基于C-V水平集模型的改进水平集方法。在一般情况下,只需要几次简单迭代就能分割出物体的轮廓。实验表明,该方法简单高效,能够快速有效地实现图像轮廓分割。更多还原

【Abstract】 The complex computing restricts the application of image segmentation method based on Chan-Vese(C-V) level set model.In order to improve the speed of image segmentation,this paper presents a new level set initialization method on C-V model.After a simple iterative,the outline of objects can be separated out.Experiments show that the method is simple and efficient,with good separation effects.更多还原