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基于引导滤波与 LoG 算子的安检图像增强算法
引用本文:孙星星,郑俊褒,曹志玲.基于引导滤波与 LoG 算子的安检图像增强算法[J].教育技术导刊,2009,19(8):226-229.
作者姓名:孙星星  郑俊褒  曹志玲
作者单位:1. 浙江理工大学 信息学院,浙江 杭州 310018,2. 黄埔海关技术中心,广东 广州 510000
基金项目:国家重点研发计划项目(2018YFC0809200)
摘    要: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。

关 键 词:X  光图像  引导滤波  LoG  算子  CLAHE  彩色图像增强  
收稿时间:2019-10-18

Security Image Enhancement Based on Guided Filter and LoG Operator
SUN Xing-xing,ZHENG Jun-bao,CAO Zhi-ling.Security Image Enhancement Based on Guided Filter and LoG Operator[J].Introduction of Educational Technology,2009,19(8):226-229.
Authors:SUN Xing-xing  ZHENG Jun-bao  CAO Zhi-ling
Institution:1. School of Information,Zhejiang University of Technology,Hangzhou 310018,China| 2. Huangpu Customs Technology Center,Guangzhou 510000,China
Abstract: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.
Keywords:X-ray image  guided image filtering  LoG operator  CLAHE  color image enhancement  
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