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| 一种抗干扰的弱小目标检测方法 | |
| 引用本文： | 袁慧晶,王涌天. 一种抗干扰的弱小目标检测方法[J]. 光子学报, 2004, 33(5): 609-612 |
| 作者姓名： | 袁慧晶 王涌天 |
| 作者单位： | 北京理工大学光电工程系,北京,100081;北京理工大学光电工程系,北京,100081 |
| 基金项目： | 国家自然科学基金项目 (90 2 0 80 0 8，6 0 0 2 5 5 1 3) |
| 摘 要： | 针对低信噪比灰度图像中弱小目标的检测问题,提出了SUSAN特征检测原则与数学形态学方法结合的小目标检测方法.该方法首先采用SUSAN原则利用图像灰度级直接提取特征,利用形态学算子去除噪声、分离目标.给出了应用实例,实验结果表明,这种方法抗干扰能力强,能够快速、可靠地检测出小目标. |
| 关 键 词： | SUSAN 数学形态学 小目标检测 |
| 收稿时间： | 2003-06-12 |
| 修稿时间： | 2003-06-12 |
A New Denoising Method for Small Target Detection |
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| Affiliation: | (Department of Optical Engineering, Beijing Institute of Technology, Beijing 100081) |
| Abstract: | A new method integrating the SUSAN principle and mathematical morphology approach is presented for the detection of small targets in a gray level image with a low signal to noise ratio (SNR). First, the SUSAN principle is applied to extract features directly at the gray scale level. Then a morphological operator is used to separate targets from noise disturbance. An application example is given. Experimental results show that the method can effectively and reliably detect a small target from pictures of low SNR. |
| Keywords: | SUSAN Mathematical morphology Small target detection |
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