| 基于小波多尺度图像配准的运动小目标检测 |
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| 引用本文： | 李红,郑成勇,高景丽.基于小波多尺度图像配准的运动小目标检测[J].红外与激光工程,2003,32(3):267-270. |
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| 作者姓名： | 李红 郑成勇 高景丽 |
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| 作者单位： | 华中科技大学,数学系,湖北,武汉,430074 |
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| 基金项目： | 国防科技预研基金项目(5140102021JW0506) |
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| 摘 要： | 探讨了一种红外图像序列中独立运动小目标检测的新方法。通过一种鲁棒的小波多尺度图像配准过程消除主场或背景运动的影响。同时,利用改进的Fisher算法及小波变换对低频的图像进行分割,最终将目标从背景中分离出来,并对配准后分割的图像差分,获得目标运动轨迹。实验表明了该方法的有效性。
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| 关 键 词： | 小波变换 多尺度图像配准 Fisher分割 运动小目标检测 红外图像序列 |
| 文章编号： | 1007-2276(2003)03-0267-04 |
| 收稿时间： | 2002/9/1 |
| 修稿时间： | 2002年9月1日 |
Detecting small moving object based on wavelet multi-scale image registration |
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| Abstract: | A novel system to independently detect small moving object in IR image sequences taken from a moving platform is proposed. Egomotion effects are removed through a waveletbased robust multiscale affine image registration process. The low frequency images are segmented with the improved Fisher algorithm and wavelet transformation, then the object is separated from background. The difference of the segmented image after registration is computed, and the kinematic track of the object is obtained. The experimental result shows that the system is effective. |
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| Keywords: | Wavelet transformation Multi-scale image registration Fisher segmentation Small moving object detection IR image sequence |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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