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低对比度目标探测技术
引用本文:关皓文,王梓萤,王文生. 低对比度目标探测技术[J]. 光机电信息, 2011, 28(4): 26-32. DOI: 10.3788/OMEI20112804.0026
作者姓名:关皓文  王梓萤  王文生
作者单位:长春理工大学光电工程学院;
基金项目:总装备部预研局十一五项目基金(51*********05)资助项目
摘    要:为了提高联合变换相关器对复杂背景下的低对比度目标的识别能力,提出了小波变换与灰度拉伸以及Canny算法相结合的物面滤波新方法,并设计了新物面处理滤波器.通过计算机模拟和光学实验证明,该方法可以准确地提取目标特征,有效地降低噪声并最终获得明亮的相关峰,成功解决了低对比度复杂背景目标的识别问题.

关 键 词:联合变换相关器  低对比度目标  小波变换  Canny算法  边缘提取

Detection Technology of Low-contrast Target
GUAN Hao-wen,WANG Zi-ying,WANG Wen-sheng. Detection Technology of Low-contrast Target[J]. OME Information, 2011, 28(4): 26-32. DOI: 10.3788/OMEI20112804.0026
Authors:GUAN Hao-wen  WANG Zi-ying  WANG Wen-sheng
Affiliation:GUAN Hao-wen,WANG Zi-ying,WANG Wen-sheng (School of Optoelectronic Engineering,Changchun University of Science and Technology,Changchun 130022,China)
Abstract:In order to improve joint transform correlator(JTC) for recognition ability of low-contrast target in cluttered background,a new object plane filtering method is proposed based on the combination of wavelet transform,gray stretching and Canny operator.Finally,a new object plane processing filter is designed.The computer simulation and optical experiments show that this method can extract the target feature accurately,reduce the noise effectively and obtain bright correlation peaks.The recognition problem of...
Keywords:joint transform correlator(JTC)  low-contrast target  wavelet transform  Canny operator  edge extraction  
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