作　　者： ; ; ; ;

机构地区： 嘉应学院电子信息工程学院

出　　处： 《激光与红外》 2013年第8期956-959,共4页

摘　　要： 针对红外图像特点和传统直方图均衡增强方法的不足,提出了一种改进的直方图均衡增强方法。先采用所提出的加权函数对红外图像各灰度级直方图进行调整,其中对背景区低灰度级的直方图进行缩小,对目标区高灰度级的直方图保持不变,然后进行均衡化处理。实验结果表明,本文提出的方法有效地压制了背景噪声,提高了目标对比度,综合性能优于传统直方图均衡和双平台直方图均衡方法。 Aiming at the characteristics of the infrared image and the insufficient of traditional histogram equalization enhancement method, an improved histogram equalization method is proposed. Firstly, each gray level histogram of the infrared image are adjusted using the proposed weighted function, wherein the low gray level histogram of the background region is reduced, while the high gray level histogram remain unchanged, and then the equalization pro- cessing are done. The experimental results show that, the proposed method effectively suppresses background noise and improves target contrast. The overall performance is better than traditional histogram equalization and dual plat- form histogram equalization method.

关 键 词： 红外图像 图像增强 加权直方图 直方图均衡化

领　　域： [自动化与计算机技术] [自动化与计算机技术]