基于改进C-V模型的图像分割方法  

An improved image segmentation method based on C-V model

作　　者：马锐 张新东[1] 杨思渊 唐泉 Ma Rui;Zhang Xindong;Yang Siyuan;Tang Quan(School of Mathematical Sciences,Xinjiang Normal University,Urumqi,Xinjiang 830017)

机构地区：[1]新疆师范大学数学科学学院,新疆乌鲁木齐830017

出　　处：《信息通信》2020年第6期75-77,共3页Information & Communications

摘　　要：由于传统C-V模型不能准确分割灰度不均匀的图像,本文基于传统C-V模型进行了局部变量的改进,改进后的模型不仅可以准确分割灰度不均匀的图像,而且能够更好的刻画各点邻域的灰度变化情况,使得边界信息可以较好的被分割。实验证明,在对图像进行分割时,文章的方法与原模型相比效果更好。Due to the traditional C-V model can’t accurately gray uneven image segmentation,this article is based on traditional C-V model has carried on the improvement of the local variable,the improved model not only can accurately gray uneven image segmentation,and can better describe each point neighborhood grayscale change situation,make boundary information can be better is divided.Experimental results show that the proposed method is better than the original model in image segmentation.

关 键 词：偏微分方程 图像分割 C-V模型 局部变量 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]