Image Segment Based on Improved Active Contour Model

WANG Fang; PAN Jie

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Image Segment Based on Improved Active Contour Model

更新时间：2026-09-04

- Image Segment Based on Improved Active Contour Model
- Vol. 33, Issue 6, Pages: 113-116(2016)
- 作者机构：
  
  郑州升达经贸管理学院机构信息工程系,河南,郑州,451191
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2016
- 稿件说明：
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王芳, 潘杰. 基于改进活动轮廓模型的图像分割[J]. 微电子学与计算机, 2016, 33(6): 113-116.

WANG Fang, PAN Jie. Image Segment Based on Improved Active Contour Model[J]. 2016, 33(6): 113-116.
王芳, 潘杰. 基于改进活动轮廓模型的图像分割[J]. 微电子学与计算机, 2016, 33(6): 113-116. DOI：

WANG Fang, PAN Jie. Image Segment Based on Improved Active Contour Model[J]. 2016, 33(6): 113-116. DOI：

摘要

为了增加图像分割的稳定性

提高图像的分割精度

提出一种改进活动轮廓模型的图像分割方法.首先选择目标内部点作为轮廓初始点

使初始点向边界点膨胀

保证图像轮廓边缘的连续性

然后采用改进贪婪算法去除了活动轮廓收缩趋势

防止出现控制点堆积现象

最后采用仿真试验对图像分割的效果进行分析

结果表明

改进活动轮廓模型不仅可以实现图像的准确分割

而且对噪声具有较强的鲁棒性

分割误差要小于其他分割模型

具有广泛的应用前景.

Abstract

In order to increase the stability of image segmentation and improve accuracy of image segmentation

this paper proposed an image segmentation method based on improved active contour model. Firstly

internal target contour is select as the initial point

and the initial point expand to boundary point to make more continuous and smooth edge

and secondly improved greedy algorithm is used to remove the shrinkage tendency of active contour

and prevent accumulation phenomenon of control points

finally

simulation experiment is used to analyze the effect of image segmentation. The results show that improved active contour model not only can achieve the accurate segmentation of image

but also has strong robustness to noise

and segmentation error is smaller than other image segmentation models

and has wide application prospects.

关键词

Keywords

references

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