基于视觉对比度机制的红外弱小目标检测算法
TP391.4; 针对红外图像中空天、海天等复杂背景及像素点噪声容易造成检测虚警的问题,提出一种基于视觉对比度机制的红外弱小目标检测算法.首先,通过新定义的局部对比度算子获取对比度增强的图像,该步骤可抑制背景杂波与像素点噪声对检测的干扰,提高图像的信杂比,增强目标区域的视觉显著性.然后,利用多尺度方法优化图像的显著区域,以增强算法的适用性,从而实现算法对不同尺寸的弱小目标的有效检测.最后,利用自适应阈值分割方法获取待检测的真实目标.实验结果表明,该算法无需图像预处理环节即可实现对不同尺寸的弱小目标的鲁棒性检测,对比常用算法具有快速性、高效性和较强的适用性....
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| Published in | 系统工程与电子技术 Vol. 41; no. 11; pp. 2416 - 2423 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | Chinese |
| Published |
重庆邮电大学自动化学院,重庆,400065
01.11.2019
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1001-506X |
| DOI | 10.3969/j.issn.1001-506X.2019.11.03 |
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| Abstract | TP391.4; 针对红外图像中空天、海天等复杂背景及像素点噪声容易造成检测虚警的问题,提出一种基于视觉对比度机制的红外弱小目标检测算法.首先,通过新定义的局部对比度算子获取对比度增强的图像,该步骤可抑制背景杂波与像素点噪声对检测的干扰,提高图像的信杂比,增强目标区域的视觉显著性.然后,利用多尺度方法优化图像的显著区域,以增强算法的适用性,从而实现算法对不同尺寸的弱小目标的有效检测.最后,利用自适应阈值分割方法获取待检测的真实目标.实验结果表明,该算法无需图像预处理环节即可实现对不同尺寸的弱小目标的鲁棒性检测,对比常用算法具有快速性、高效性和较强的适用性. |
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| AbstractList | TP391.4; 针对红外图像中空天、海天等复杂背景及像素点噪声容易造成检测虚警的问题,提出一种基于视觉对比度机制的红外弱小目标检测算法.首先,通过新定义的局部对比度算子获取对比度增强的图像,该步骤可抑制背景杂波与像素点噪声对检测的干扰,提高图像的信杂比,增强目标区域的视觉显著性.然后,利用多尺度方法优化图像的显著区域,以增强算法的适用性,从而实现算法对不同尺寸的弱小目标的有效检测.最后,利用自适应阈值分割方法获取待检测的真实目标.实验结果表明,该算法无需图像预处理环节即可实现对不同尺寸的弱小目标的鲁棒性检测,对比常用算法具有快速性、高效性和较强的适用性. |
| Abstract_FL | Aiming to resolve the problem that the complex background of sea‐sky and also pixel‐level noise are easy to result in false alarm in the process of target detection ,a detection algorithm of the infrared w eak target using visual contrast mechanism is proposed .First ,a contrast‐enhanced image is obtained by using the defined local contrast measure operator .T his step can enhance the visual saliency of the target region ,and simultane‐ously suppress the interference of the complex background and pixel‐level noise ,so as to improve the signal‐to‐clutter ratio (SCR) of the image .T hen ,the saliency region of the image is optimized in multi‐scale to improve the versatility of the algorithm ,so that it can be competent in the detection of w eak targets of different sizes . Finally ,an adaptive threshold segmentation is used to obtain the real target . T he experimental results show that the proposed algorithm can realize the robustness detection of different sized w eak targets w ithout image preprocessing .T hus it is an effective method for infrared w eak target detection compared w ith other algorithms with its high rapidity ,efficiency and strong applicability . |
| Author | 邓撬 蔡军 李鹏泽 黄袁园 赵子硕 |
| AuthorAffiliation | 重庆邮电大学自动化学院,重庆,400065 |
| AuthorAffiliation_xml | – name: 重庆邮电大学自动化学院,重庆,400065 |
| Author_FL | LI Pengze DENG Qiao HUANG Yuanyuan ZHAO Zishuo CAI Jun |
| Author_FL_xml | – sequence: 1 fullname: CAI Jun – sequence: 2 fullname: HUANG Yuanyuan – sequence: 3 fullname: LI Pengze – sequence: 4 fullname: ZHAO Zishuo – sequence: 5 fullname: DENG Qiao |
| Author_xml | – sequence: 1 fullname: 蔡军 – sequence: 2 fullname: 黄袁园 – sequence: 3 fullname: 李鹏泽 – sequence: 4 fullname: 赵子硕 – sequence: 5 fullname: 邓撬 |
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| Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
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| DocumentTitle_FL | Infrared small target detection algorithm using visual contrast mechanism |
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| Keywords | visual contrast mechanism thresh‐old segmentation 视觉对比度机制 local contrast measure 红外弱小目标 multi‐scale 阈值分割 多尺度 局部对比度 infrared weak target |
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| Title | 基于视觉对比度机制的红外弱小目标检测算法 |
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