| 人工免疫系统和云模型用于图像分割 |
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| 引用本文： | 王珺,陈军.人工免疫系统和云模型用于图像分割[J].计算机工程与应用,2009,45(36):158-160. |
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| 作者姓名： | 王珺 陈军 |
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| 作者单位： | 鲁东大学 数学与信息学院，山东 烟台 264025 |
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| 摘 要： | 针对传统基于聚类的图像分割算法易于陷入局部最优解的问题，将人工免疫模型引入到了寻找聚类中心的过程中。鉴于抗体具有双价的免疫特性，以及将不被识别器识别也不属于自我抗原的抗原统一划为自我抗原或非自我抗原而产生的高误判率，在抗体识别抗原过程中引入云决策机制，增加了抗原划分的随机性和模糊性，提高了图像分割的质量。
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| 关 键 词： | 图像分割 聚类 人工免疫模型 云模型 |
| 收稿时间： | 2009-7-31 |
| 修稿时间： | 2009-8-31
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Application of artificial immune network based on cloud model for image segmention |
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| WANG Jun,CHEN Jun.Application of artificial immune network based on cloud model for image segmention[J].Computer Engineering and Applications,2009,45(36):158-160. |
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| Authors: | WANG Jun CHEN Jun |
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| Affiliation: | College of Mathematics and Information，Ludong University，Yantai，Shandong 264025，China |
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| Abstract: | Artificial immune model is introduced in searching clustering centers，that avoids being trapped in local optimal solution.On one hand immunological character of antigens is polyvalent；on the other hand high False Accept Rate（FAR） is produced，because the antigens which are neither recognized by recognizers nor self ones are decided as self ones or non-self ones identically.So cloud model is applied in antigen-antibody recognition，which increases rondomness and vagueness in antigen division and improves image segmentation quality. |
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| Keywords: | image segmentation clustering artificial immune model cloud model |
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