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基于形态学的红外小目标检测算法
引用本文:郭张婷,辛云宏.基于形态学的红外小目标检测算法[J].渭南师范学院学报,2011,26(6):35-40.
作者姓名:郭张婷  辛云宏
作者单位:陕西师范大学物理学与信息技术学院,西安,710062
基金项目:陕西省自然科学基金资助项目(2006F47); 陕西师范大学优秀科技预研基金资助项目(20092006)
摘    要:在分析复杂天空背景下红外视频序列特征的基础上,针对红外小目标本身特性及红外序列低信噪比的问题,提出适合该环境的红外小目标检测算法.该滤波方法以形态学滤波理论为基础,首先采用均值滤波和Open ing-Tophat运算对红外视频序列进行预处理,然后运用基于均值和方差的统计分割方法提取图像中的运动目标,从而实现了红外小目标的检测.实验结果表明,所提出滤波方法具有良好的检测和分割效果,能够有效地改善跟踪精度.

关 键 词:红外小目标  形态学  Opening-Tophat  阈值分割

A Morphology-based Algorithm for Infrared Small Target Detection
GUO Zhang-ting,XIN Yun-hong.A Morphology-based Algorithm for Infrared Small Target Detection[J].Journal of Weinan Teachers College,2011,26(6):35-40.
Authors:GUO Zhang-ting  XIN Yun-hong
Institution:GUO Zhang-ting,XIN Yun-hong(School of Physics and Information Technology,Shaanxi Normal University,Xi'an 710062,China)
Abstract:The paper presented a novel algorithm to detect small infrared target in the complex background with low SNR.Based on the principle of morphology,the new algorithms preprocessed each frame image of infrared video sequences with mean filtering and opening-tophat filtering,and then the moving small IR target was extracted by means of statistical segmentation algorithms based on the average and square errors.The experimental results showed that the presented method had a better detection and segmentation perfo...
Keywords:small IR target  morphology  Opening-Tophat  threshold segmentation  
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