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| 改进的K均值聚类红外目标检测方法 | |
| 引用本文： | 姜斌,石峰,崔东旭,张鹏辉,袁轶慧,张俊举.改进的K均值聚类红外目标检测方法[J].应用光学,2012,33(4):766-769. |
| 作者姓名： | 姜斌 石峰 崔东旭 张鹏辉 袁轶慧 张俊举 |
| 作者单位： | 1.微光夜视技术国防科技重点实验室，陕西 西安 710000；2.南京理工大学 电子工程与光电技术学院， 江苏 南京 210094；3. 西安应用光学研究所，陕西 西安710065 |
| 基金项目： | 国家自然科学基金(61101195)；江苏省研究生创新基金(CX09B-097Z) ；微光夜视技术国防科技重点实验室开放基金(J20110506) |
| 摘 要： | 利用图像方差能很好地反映目标边缘信息的特点，提出一种基于方差的K均值聚类红外目标检测算法。利用形态学方法对红外图像进行预处理，运用相应的模板计算得到红外图像的方差图像，利用K均值聚类算法对方差图像进行聚类，从而分离出目标类别和背景类别。实验表明，该算法提取的红外图像中目标信息的兰德指数最高，说明该算法能有效地提取红外图像中目标信息，从而达到目标检测的目的。 |
| 关 键 词： | 目标检测 形态学方法 K均值聚类 方差 |
| 收稿时间： | 2011/12/5 |
IR target detection based on improved K-means clustering |
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| JIANG Bin , SHI Feng , CUI Dong-xu , ZHANG Peng-hui , YUAN Yi-hui , ZHANG Jun-ju.IR target detection based on improved K-means clustering[J].Journal of Applied Optics,2012,33(4):766-769. | |
| Authors: | JIANG Bin SHI Feng CUI Dong-xu ZHANG Peng-hui YUAN Yi-hui ZHANG Jun-ju |
| Affiliation: | 1. Key Laboratory for Low Light Level Technology of Commission of Science Technology and Industry for National Defense, Xi-an 710000, China; 2. Institute of Electronic Engineering and Optoelectronic Technology, Nanjing University of Science and Technology, Nanjing 210094, China; 3. Xi-an Institute of Applied Optics, Xi-an 710065,China |
| Abstract: | Considering the variance of image was a very good response for edge information, a target detection algorithm by K-means clustering algorithm based on variance was presented. First, this paper prepressed the infrared image by morphological method, and calculated the corresponding variance image by using a specific template, then gathered each difference image class by using the K-means clustering method, finally the different target edge information was got. Experimental results show that the algorithm can effectively extract the IR target edge. |
| Keywords: | target detection morphological k-means clustering variance |
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