| 基于区域GAC模型的二值化水平集图像分割算法 |
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| 引用本文： | 杨勇,徐春,潘伟民.基于区域GAC模型的二值化水平集图像分割算法[J].计算机应用,2009,29(9). |
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| 作者姓名： | 杨勇 徐春 潘伟民 |
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| 作者单位： | 1. 新疆师范大学,数理信息学院,乌鲁木齐,830054
2. 新疆财经大学,计算机科学与工程学院,乌鲁木齐,830012 |
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| 摘 要： | 针对测地线主动轮廓(GAC)模型进行了改进,提出了一种基于区域的GAC模型.通过构造基于区域统计信息的符号压力函数取代边界停止函数,有效解决了弱边界目标或离散状边界目标的分割问题.该模型采用二值化水平集方法实现,避免了传统实现方法水平集函数需要重新初始化为符号距离函数,从而导致稳定性差、计算量大、实现复杂等缺点.对不同类型图像的试验结果表明:该算法迭代收敛速度比GAC模型传统实现方法明显加快,且可有效防止边界泄漏,分割效果优于传统GAC模型与C-V模型.
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| 关 键 词： | 图像分割 水平集 主动轮廓 重新初始化 |
Image segmentation method using binary level set based on regional GAC model |
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| YANG Yong,XU Chun,PAN Wei-min.Image segmentation method using binary level set based on regional GAC model[J].journal of Computer Applications,2009,29(9). |
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| Authors: | YANG Yong XU Chun PAN Wei-min |
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| Affiliation: | 1.College of Mathematics;Physics and Information Science;Xinjiang Normal University;Urumqi Xinjiang 830054;China;2.College of Computer Science and Engineering;Xinjiang University of Finance and Economics;Urumqi Xinjiang 830012;China |
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| Abstract: | A new model of Geodesic Active Contour(GAC)based on region was presented,which was the improvement of traditional GAC model.A new region-based signed pressure forces function was constructed,which took the place of the edge stopping function,and could efficiently solve the problem of objects segmentation with weak edges or without edges.The model was implemented by level set method with a binary level set function to reduce the expensive computational cost of re-initialization of the traditional level set f... |
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| Keywords: | image segmentation level set active contour re-initialization |
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