An Adaptive Image Segmentation Method Based on the Level Set

被引：0
|
作者：
Zhang Aili [2 ,3 ]
Li Sijia [1 ]
Liu Tuanning [2 ,3 ]
Li Zhiyong [2 ,3 ]
Zhang Yu [1 ]
机构：
[1] Henan Normal Univ, Coll Phys & Elect Engn, Xinxiang 453007, Peoples R China
[2] Henan Normal Univ, Coll Comp & Informat Engn, Xinxiang 453007, Peoples R China
[3] Engn Lab Henan Prov Intelligence Business & Inter, Xinxiang 453007, Peoples R China
来源：
PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON MATERIALS ENGINEERING AND INFORMATION TECHNOLOGY APPLICATIONS | 2015年 / 28卷
关键词：
Uneven information; Global segmentation; Fitting Information; Image segmentation;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An adaptive gray value of image segmentation method aimed at uneven gray-level image segmentation was proposed. The innovative method combined target image with the gray value of background information according to level set theory with the adaptive linear fitting of global and local information. And then, image segmentation was conducted to avoid being trapped in the local optimum. The experimental results showed that the proposed method could resist noise effectively with the capacity of adaptive image uneven gray level information. As a result, The global optimal image segmentation was obtained. Theoretical analysis suggested that the proposed method not only can be used to cut up the real image but also can be well applied to MRI segmentation.
引用
收藏
页码：496 / 502
页数：7
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