基于引导滤波与LoG算子的安检图像增强算法

Security Image Enhancement Based on Guided Filter and LoG Operator

引导滤波是一种能保持图像边缘的滤波器,可用来减少图像噪声。高斯拉普拉斯算子(Laplacian of Gaussian,LoG)在去噪的同时能够检测到边缘信息,并实现图像边缘增强。针对X光安检图像噪声大、边缘不清晰、对比度低等特点,提出一种基于引导滤波与LOG算子的安检图像增强算法。首先用引导滤波对图像作平滑处理,然后用LoG算子检测其边缘并进行增强,最后用限制对比度自适应局部直方均衡化(CLAHE)作对比度拉伸。实验结果表明,该算法与改进CLAHE算法相比,平均梯度可提高50%左右,图像清晰度较高。

Guided filter is a kind of filter that can keep the edge of the image,which can be used to reduce image noise.Laplacian of Gaussian(LoG)can detect edge information while de-noising,it can realize image edge enhancement.Aiming at the characteristics of X-ray security image such as high noise,unclear edge and low contrast,we propose a security image enhancement algorithm based on guided filter and LOG operator.Firstly,the image is smoothed by guided filter,then the edge is detected by LoG operator,and finally,the contrast is stretched by contrast limited adaptive histogram equalization(CLAHE).The experimental results show that compared with the improved CLAHE algorithm,the average gradient of the algorithm can be improved by about 50%,and the image clarity can be improved.