| 红外图像目标识别的预处理技术研究 |
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| 引用本文： | 徐慧慧,孙运强,姚爱琴.红外图像目标识别的预处理技术研究[J].电子测试,2010(7):32-35. |
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| 作者姓名： | 徐慧慧 孙运强 姚爱琴 |
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| 作者单位： | 1. 中北大学信息与通信工程学院,山西,太原,030051
2. 中北大学仪器科学与动态测试教育部重点实验室,山西,太原,030051 |
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| 摘 要： | 红外图像目标识别系统,由图像预处理、特征提取及模式分类组成,红外图像目标识别的图像预处理包括滤波降噪、图像增强、图像分割等。滤波降噪有邻域平均、中值等滤波方法,图像增强可通过微分、Butterworth高通滤波和形态学高低帽变换完成,图像分割采用阈值分割技术和形态学方法实现。综合比较各种处理方法,采用中值滤波进行降噪、高低帽变换进行图像增强、阈值分割与形态学处理结合进行图像分割,较好地实现了红外图像目标识别的预处理。
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| 关 键 词： | 红外图像 目标识别 图像预处理 |
Research on processing technologies of infrared image target recognition |
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| Xu Huihui,Sun Yunqiang,Yao Aiqin.Research on processing technologies of infrared image target recognition[J].Electronic Test,2010(7):32-35. |
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| Authors: | Xu Huihui Sun Yunqiang Yao Aiqin |
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| Affiliation: | 1 College of Information and Communication Engineering,North University of China,Taiyuan 030051,China; 2 Key Laboratory of Instrumentation Science ＆ Dynamic Measurement-Ministry of Education, North University of China,Taiyuan 030051,China) |
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| Abstract: | The infrared target recognition system consists of image preprocessing, feature extraction and pattern classification. The image preprocessing based on infrared image target recognition includes noise reduction, image enhancement and image segmentation. The filter noise reduction method includes neighborhood average method, median method.The image enhancement could be realized through the differential coefficient 、Butterworth high pass filter 、top and bottom hat transformation of morphology ; the image division could be realized by adopting threshold division technology and morphology processing. Compared with varied processing method, median filter reduced noise、top and bottom hat transformation enhanced image、combination of threshold segmentation and morphological processing segmented image could realize the infrared image target recognition preprocessing better. |
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| Keywords: | Infrared image Target recognition Image preprocessing |
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