一种新型的四相水平集图像分割方法

来源 :数学的实践与认识 | 被引量 : 10次 | 上传用户：longkeming

【摘要】

：

水平集方法在图像分割和计算机视觉领域有很广泛的应用,在传统的水平集方法中,水平集函数需要保持符号距离函数.现有的活动轮廓模型、GAC模型、M-S模型、C-V模型等在演化过程中均需要对水平集函数进行重新初始化,使其保持符号距离函数,然而这样会引起数值计算的错误,最终破坏演化的稳定性,另外这些模型只适用于灰度值较为均匀的图像,对灰度值不均匀的图像不能进行理想的分割·针对这些问题,结合C-V模型的思想,

【作者】

：

陈苗苗刘朝霞

【出处】

：

数学的实践与认识

【发表日期】

：

2017年22期

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一种新型的四相水平集图像分割方法

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