An X-ray Image Enhancement Algorithm for Dangerous Goods in Airport Security Inspection

被引：3
|
作者：
Gao, Qiang [1 ]
Hong, Ruifeng [1 ]
Zhu, Xiaoman [2 ]
Liu, Xilin [2 ]
机构：
[1] Guangzhou Civil Aviat Coll, Sch Airport Management, Guangzhou, Peoples R China
[2] Foshan Univ, Sch Mechatron Engn & Automat, Foshan, Peoples R China
来源：
2021 ASIA-PACIFIC CONFERENCE ON COMMUNICATIONS TECHNOLOGY AND COMPUTER SCIENCE (ACCTCS 2021) | 2021年
关键词：
airport security; x-ray image; USM; CLAHE; image enhancement;
D O I：
10.1109/ACCTCS52002.2021.00017
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Aiming at the problem of color distortion in CLAHE enhanced airport security X-ray images, an X-ray image enhancement algorithm combining USM+CLAHE is proposed. First, calculate the grayscale images on the R, G, and B channels of the X-ray image and perform CLAHE enhancement respectively, and then merge the enhanced R, G, and B grayscale images. Next, perform the USM sharpening operation on the X-ray image enhanced by CLAHE, and finally merge the original image and the USM sharpened image according to the weight. The experimental results show that the USM+CLAHE algorithm can effectively enhance the security X-ray image, and at the same time can suppress the color distortion of the enhanced image.
引用
收藏
页码：43 / 46
页数：4
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