摘要
为改善红外热成像图像的增强效果,针对现有红外成像的特点,本文提出了一种基于改进直方图的红外图像增强方法。对于红外图像可能存在四周高亮的现象,综合考虑图像亮度强度和对比度,确定原始图像的裁剪区域,在此基础上,提出采用灰度级别均匀分布的方法来避免像素个数少的灰度级被合并导致图像细节丢失的问题。实验表明,本文提出的改进算法相比传统直方图均衡方法,在熵值、标准差、模糊线性指数上分别有21.87%,2.60%,14.52%的改进量,在提高图像对比度的同时增强了图像的关键细节,印证了理论分析的正确性。
In order to improve the enhancement effect of infrared image,according to the imaging characteristics of existing infrared imaging,an infrared image enhancement method based on improved histogram is proposed in this paper.For the phenomenon that the infrared image may be highlighted around,this paper comprehensively considers the image brightness intensity and contrast,then determines the clipping area of the original image.On this basis,this paper proposes a method of uniform distribution of gray levels to avoid the loss of image details caused by the combination of gray levels with a small number of pixels.Experiments show that compared with the traditional histogram equalization method,the improved algorithm proposed in this paper has 21.87%,2.60%and 14.52%improvements in entropy value,standard deviation and fuzzy linear index respectively.The key details of the image are enhanced while improving the image contrast,which confirms the correctness of the theoretical analysis.
作者
李凌杰
陈菲菲
Li Lingjie;Chen Feifei(CETC Electro-Optics Technology Corporation Limited,Beijing 100015,China)
出处
《航空兵器》
CSCD
北大核心
2022年第2期101-105,共5页
Aero Weaponry
关键词
红外图像
图像增强
直方图均衡化
灰度级别
熵值
标准差
模糊线性指数
infrared image
image enhancement
histogram equalization
gray level
entropy value
standard deviation
fuzzy linear index
