液晶与显示2017，Vol.32Issue(4)：287-293,7.DOI:10.3788/YJYXS20173204.0287
基于计算机视觉的X射线图像异物分类研究
X-ray image illegal object classification based on computer vision
摘要
Abstract
In the field of security,manual X-ray images analysis is a common method to detect illegal object.Due to manual analysis' strong subjectivity,it is easy to cause false detection.The illegal object classification by Tamura texture feature and random forest with X ray is proposed in this paper.Firstly,an automatic illegal object detection and identification system based on computer vision is introduced.Then a method based on Contourlet transform is proposed to extract Taruma texture.Finally,the random forest classifier is adopted to classify illegal objects.Experimental results show that the illegal object classification by Tamura texture feature and random forest with X ray can effectively distinguish different kinds of illegal object.关键词
X射线异物/Contourlet变换/Tamura纹理特征/随机森林/分类Key words
illegal object with X ray/Contourlet transform/Taruma texture feature/random forest/classification分类
信息技术与安全科学引用本文复制引用
王宇,邹文辉,杨晓敏,姜 维,吴 炜..基于计算机视觉的X射线图像异物分类研究[J].液晶与显示,2017,32(4):287-293,7.基金项目
国家自然科学基金资助项目(No.61271330) （No.61271330）
Supported by National Natural Science Foundation of China(No.61271330) （No.61271330）
