节点文献
基于Zernike矩的低信噪比红外目标检测方法
Target Detection Method for Low-SNR Infrared Images Based on Zernike Moments
【摘要】 针对低信噪比红外目标图像,分析了Zernike矩的基本原理、计算方法和旋转不变性,提出了基于Zernike正交矩的低信噪比红外目标检测方法,并比较了模板匹配、Hu矩、Zernike矩方法的目标识别效果。理论分析与实验验证了所提方法的有效性。
【Abstract】 Aimed at low-SNR infrared images,this paper analyzed principle and computational method of Zernike moments,proved rotation invariant property,proposed a method for low-SNR infrared target detection based on Zernike moments,and compared target recognition effect among template matching,Hu moments and Zernike moments via experiment.Theoretical analysis and experiment result show that Zernike moments are superior to template matching and Hu moments in target detection,and the proposed method is effective for low-SNR infrared target detection.
【关键词】 低信噪比;
红外图像;
Zernike矩;
目标检测;
【Key words】 low-SNR; infrared images; Zernike moments; target detection;
【Key words】 low-SNR; infrared images; Zernike moments; target detection;
- 【文献出处】 激光与红外 ,Laser & Infrared , 编辑部邮箱 ,2007年07期
- 【分类号】TN911.7
- 【被引频次】7
- 【下载频次】159