一种基于水平集的图像分割新方法

A New Method of Image Segmentation Based on Level Set

首先从理论上分析了无需重新初始化的水平集方法的主动轮廓图像分割模型,该模型对一些具有不光滑的尖角的图像分割时,捕捉这些尖角往往不精确甚至失败。然后通过修正边缘检测函数,则能准确地捕捉到物体的尖角,保证了分割的准确性。实验证明了该方法的可行性。

Firstly, an image segmentation method based on level set evolution without re - initialization is studied. This method depends on edge indicator function. However, the method is inaccurate for capturing the sharp comers of the object during segmenting the image. Secondly, the method is improved by revising the edge indicator function near the end points of these sharp corners. And then, the sharp comers of the object can be captured more accurately. The numerical experiments show the advantage of the improved model.