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| 基于分维像的红外弱小目标检测方法 | |
| 引用本文： | 孙玉秋,田金文,柳健.基于分维像的红外弱小目标检测方法[J].华中科技大学学报(自然科学版),2007,35(5):13-15. |
| 作者姓名： | 孙玉秋 田金文 柳健 |
| 作者单位： | 1. 长江大学,信息与数学学院,湖北,荆州,434023;华中科技大学图像识别与人工智能研究所,湖北,武汉,430074 2. 华中科技大学图像识别与人工智能研究所,湖北,武汉,430074 3. 华中科技大学图像信息处理与智能控制教育部重点实验室,湖北,武汉,430074 |
| 摘 要： | 针对红外图像的特点及分形分维的特性,提出了基于分维像的红外弱小目标检测方法.用滑动窗口在红外图像上滑动,根据分形布朗运动计算出窗口分维作为该窗口中心像素的分维,这样就可以计算出图像每一像素的分形分维,并以此为元素构造成分维像.在分维像中,人造目标的分维值小于自然背景的分维值,适当地选取阈值就可以把目标检测出来.实验结果表明,用分维像的方法检测红外目标可以取得很好的效果. |
| 关 键 词： | 红外图像 分维像 目标检测 分维值 红外弱小目标 检测方法 image fractal dimension small targets infrared 效果 红外目标 结果 实验 目标检测 阈值 选取 自然背景 人造目标 构造 元素 图像 运动计算 |
| 文章编号： | 1671-4512(2007)05-0013-03 |
| 修稿时间： | 04 21 2006 12:00AM |
Detection of infrared dim small targets by using fractal dimension image |
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| Sun Yuqiu,Tian Jinwen,Liu Jian.Detection of infrared dim small targets by using fractal dimension image[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2007,35(5):13-15. | |
| Authors: | Sun Yuqiu Tian Jinwen Liu Jian |
| Affiliation: | 1 .School of Information and Mathematics, Yangtze University,Jingzhou 434023, H ubei China;2.Institute of Pattern Recognition and Artificial Intelligence, 3. State Key Laboratory for Image Processing and Intelligence Control, Huazhong University of Science and Technology, Wuhan 430074, China |
| Abstract: | Based on the features of infrared image and the speciality of fractal dimension,a method of detection infrared dim small target based on fractal dimension was presented.Using a window slide on the infrared image, the fractal dimension of the window can be calculated and denoted as the fractal dimension of the center pixel of the window.Construct an image using the fractal dimension of each pixel.Target can be detected by properly selecting threshold due to the different values between target and background in the fractal dimension image.Experiments show that the method to detect infrared image using fractal dimension image is effective. |
| Keywords: | infrared image fractal dimension image target detection |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |
