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| 基于预处理的气动退化图像边缘定位 | |
| 引用本文： | 孙李辉,李俊山,李钊,胡双演,耿志.基于预处理的气动退化图像边缘定位[J].无线电工程,2012,42(11):17-19. |
| 作者姓名： | 孙李辉 李俊山 李钊 胡双演 耿志 |
| 作者单位： | 1. 中国人民解放军96646部队,陕西汉中731500 第二炮兵工程大学,陕西西安710025 2. 第二炮兵工程大学,陕西西安,710025 3. 二炮驻石家庄地区军事代表室,河北石家庄,050081 4. 成都西较场司令部,四川成都,610015 |
| 基金项目： | 国家自然科学基金资助项目（61175120） |
| 摘 要： | 为了便于解决气动退化图像因图像模糊退化不易进行复原处理的问题,提出了一种气动退化红外图像的边缘定位算法。首先对退化图像进行基于像素疑似度的去噪预处理;然后使用Canny算子进行了边缘定位,进而对边缘区域进行了边缘修复和滤波处理。通过对多组气动退化图像的仿真实验及与多种边缘检测算法的对比分析表明,算法具有较好的边缘定位能力,较好地去除了气动退化图像模糊的问题,图像质量得以恢复,同时算法复杂度较低。 |
| 关 键 词： | 气动退化图像 气动光学效应 预处理 边缘定位 边缘修复 仿真实验 |
Edge Orientation of Aero Degraded Image Based on Pre-processing |
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| SUN Li-hui,LI Jun-shan,LI Zhao,HU Shuang-yan,GENG Zhi.Edge Orientation of Aero Degraded Image Based on Pre-processing[J].Radio Engineering of China,2012,42(11):17-19. | |
| Authors: | SUN Li-hui LI Jun-shan LI Zhao HU Shuang-yan GENG Zhi |
| Affiliation: | 1.Unit 96646,PLA,Hanzhong Shaanxi 731500,China; 2.Second Artillery Engineering University,Xi＇an Shaanxi 710025,China; 3.The Second Artillery Military Representative Office in Shijiazhuang,Shijiazhu ang Hebei 050081,China; 4.Headquarters Xijiaochang of Chengdu,Chengdu Sichuan 610015,China) |
| Abstract: | Image restoration is often difficult due to blur.An edge o rientation algorithm for aero degraded image is proposed.Firstly,denoising pred isposal based on pixel similarity is done;then,edge orientation using Canny oper ator is done;lastly,repair and denoising in edge region are performed.Simulation of aero degraded images and comparison of different edge detection algorithms s how that the proposed algorithm provide can better performance of edge orientati on and deblur effect,as well as improved image quality and lowered algorithm com plexity. |
| Keywords: | aero degraded image aero-optical effect pre-processing e dge orientation edge repair emulational experience |
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