A New Geodesic Active Contour Based on Attraction Field Regularization

CEN Feng; QI Fei-hu; ZENG Wen-jun

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A New Geodesic Active Contour Based on Attraction Field Regularization

更新时间：2025-07-16

- A New Geodesic Active Contour Based on Attraction Field Regularization
- Acta Electronica Sinica Vol. 31, Issue 1, Pages: 82-84(2003)
- 作者机构：
  
  上海交通大学计算机科学与工程系,上海,200030
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391
- Published：2003
- 稿件说明：
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CEN Feng, QI Fei-hu, ZENG Wen-jun. A New Geodesic Active Contour Based on Attraction Field Regularization[J]. Acta Electronica Sinica, 2003, 31(1): 82-84.
DOI：

CEN Feng, QI Fei-hu, ZENG Wen-jun. A New Geodesic Active Contour Based on Attraction Field Regularization[J]. Acta Electronica Sinica, 2003, 31(1): 82-84. DOI：

摘要

短程线主动轮廓模型是近几年提出的一种有效的多目标轮廓提取算法.本文在详细分析其动力学过程的基础上

针对该模型中存在的局限性和不足

提出对边缘吸引力场进行正则化的方法

并采用多尺度模型

有效的改善了该模型不能对存在断裂轮廓的目标进行正确提取和凹边缘搜索能力弱的缺点

增强了抗噪声和虚假边缘干扰的能力

使该算法具有更好的鲁棒性和实用性.

Abstract

Geodesic active contour model is an effective method for the contour detection of multiple objects on an image.However

there are some limitations and shortcomings in this model

such as poor convergence to boundary concavities

leaking from broken boundary

miserable anti-noise ability

etc.In this paper

based on a detail analysis of geodesic active contour

a new algorithm combined the attraction field regularization and multiscale method is presented to overcome these shortcomings.The regularization of the attraction field extends the attraction range and smoothes the field that can decrease the noise influence.The multiscale method provides an accurate contour detection.The final experiments prove that this new model is sensitive to concave boundary

insensitive to broken boundary

and robust to noise.

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