| 基于阈值动态分配空闲灰度级的红外图像增强 |
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| 引用本文： | 高赟,高有行.基于阈值动态分配空闲灰度级的红外图像增强[J].计算机工程与设计,2007,28(16):3935-3936,3939. |
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| 作者姓名： | 高赟 高有行 |
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| 作者单位： | 西安电子科技大学,计算机外部设备研究所,陕西,西安,710071 |
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| 摘 要： | 分析了直方图均衡化增强算法的优缺点,并结合红外图像的特点对其简并的缺点提出了改进措施.利用全局灰度均值法得到阈值,并依据该阈值将图像灰度分为背景段和目标段,接着将空闲灰度级动态分配给背景段和目标段,最后利用局域直方图均衡化方法对背景段和目标段分别进行增强,从而达到减少简并可能性的目的.
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| 关 键 词： | 红外图像 图像增强 空闲灰度级 阈值 直方图均衡化 对比度 阈值 动态分配 灰度级 红外图像增强 images infrared threshold value based levels gray idle algorithm 方法 目标 背景 图像灰度 均值法 利用 改进 简并 |
| 文章编号： | 1000-7024（2007）16-3935-02 |
| 修稿时间： | 2006-09-09 |
Enhancement algorithm by automatically assigning idle gray levels based on threshold value for infrared images |
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| GAO Yun,GAO You-xing.Enhancement algorithm by automatically assigning idle gray levels based on threshold value for infrared images[J].Computer Engineering and Design,2007,28(16):3935-3936,3939. |
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| Authors: | GAO Yun GAO You-xing |
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| Abstract: | Advantages and disadvantages on histogram equilibration(HE) algorithm are analyzed.An improved self-adaptive HE al-gorithm for infrared images is presented in detail,aimed at reducing the possibility of combining low frequency gray levels.The enha-ncement process is gaining a threshold value from the average value of global gray levels,dividing image into background region and object region by the threshold value,automatically assigning idle gray levels to the background and the object,and enhancing the back-ground and the object by self-adaptive HE algorithm. |
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| Keywords: | infrared image image enhancement idle gray levels threshold value histogram equilibration gray contrast |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
