| 基于GVF模型的图像分割方法的改进 |
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| 引用本文： | 王海军,张有志. 基于GVF模型的图像分割方法的改进[J]. 计算机应用, 2006, 26(5): 1040-1041 |
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| 作者姓名： | 王海军 张有志 |
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| 作者单位： | 山东大学,信息科学与工程学院,山东,济南,250100;山东大学,信息科学与工程学院,山东,济南,250100 |
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| 摘 要： | 基于GVF模型的图像分割方法克服了snake模型对凹凸形状物体分割效果不好的缺点，但它对细长凹陷物体的分割效果仍然不佳。本文通过GVF模型力场的分析，对GVF模型进行了改进，克服了GVF模型的上述缺点，通过在改进的GVF模型中引入和设置方向矢量，还可分割出任何感兴趣的物体。
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| 关 键 词： | 图像分割 Snake模型 GVF模型 方向矢量 |
| 文章编号： | 1001-9081（2006）05-1040-02 |
| 收稿时间： | 2005-11-21 |
| 修稿时间： | 2005-11-212006-01-05 |
Improvement of image segmentation based on GVF model |
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| WANG Hai-jun,ZHANG You-zhi. Improvement of image segmentation based on GVF model[J]. Journal of Computer Applications, 2006, 26(5): 1040-1041 |
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| Authors: | WANG Hai-jun ZHANG You-zhi |
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| Affiliation: | School of lnformation Science and Engineering, Shandong University; Jinan Shandong 250100, China |
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| Abstract: | Based on the analysis of the force field of gradient vector flow (GVF) model, the force vectors of GVF in the diffusion equations were normalized, which made the external forces irrelevant of the distance between the points of the contour and the boundary of object. Thus this method can solve deep boundary concavities. At the same time, by introducing direction vector into the GVF model, in the region specified by this vector, the force fields of the objects not wanted can be shielded, and the interested objects can be segmented more precisely. |
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| Keywords: | image segmentation Snake model GVF model direction vector |
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