| 红外小目标图像的分割与聚类分析 |
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| 引用本文： | 李斌,彭嘉雄.红外小目标图像的分割与聚类分析[J].红外与激光工程,2000,29(6):60-63. |
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| 作者姓名： | 李斌 彭嘉雄 |
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| 作者单位： | 华中科技大学图像识别与人工智能研究所图像信息处理与智能控制教育部重点实验室,武汉,430074 |
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| 基金项目： | 国防科技预研基金，97J2.4.4.JW0517， |
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| 摘 要： | 天空背景下红外小目标图像的分割与聚类是检测和识别目标过程的预处理部分。首先对图像进行对比度增强处理，并通过模板滤波法去除弱噪声，再运用分割算法把目标和强噪声从背景中分离出来，然后根据聚类得到可能的小目标，最后给出整套处理方法的实验结果和分析。
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| 关 键 词： | 图像处理 红外图像分割 聚类分析 |
| 修稿时间： | 2000-03-17 |
Segmentation and clustering of infrared small target image |
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| Li Bin,Peng Jiaxiong.Segmentation and clustering of infrared small target image[J].Infrared and Laser Engineering,2000,29(6):60-63. |
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| Authors: | Li Bin Peng Jiaxiong |
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| Abstract: | The segmentation and clustering of infrared small target image in a sky background is considered in this paper, which is the preprocessing part of the detection and recognition of moving small target in an infrared image sequence. First, the infrared image is enhanced to improve its contrast, and the dim noises are removed by use of the template filter. Secondly, the segmentation algorithm is presented to separate the target and brighter noises from the background. Thirdly, according to the clustering analysis, the possible targets are extracted. To the last, the experiment results are analyzed and the existing problem is discussed. |
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| Keywords: | Contrast enhancement \ Template filtering \ Probabilistic relaxation \ Feature extraction \ Clustering analysis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
