{"title":"Perceived X-ray image quality for baggage screening","authors":"J. Irvine, M. Young, Stan German, R. Eaton","doi":"10.1109/AIPR.2015.7444546","DOIUrl":null,"url":null,"abstract":"The quality of an image affects its utility for various analytic tasks. For security screening of baggage, the quality of the X-ray image will affect the ability of human operators to detect and identify relevant objects. This paper presents a recent protocol aimed at the development of a perception-based standard for assessing the quality of x-ray images of baggage. This standard provides a quantitative method for assessing x-ray image quality from the display, as presented to security officers. Furthermore, it provides a framework for understanding how different variables (belt speed, scanner orientation, degree of clutter in the image, ambient lighting, etc) affect the quality of images taken from X-Ray scanners at security checkpoints. The paper presents the protocol that was performed, summarizes the analysis and findings, and presents a method for employing the results to assess performance of a scanner system.","PeriodicalId":440673,"journal":{"name":"2015 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIPR.2015.7444546","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The quality of an image affects its utility for various analytic tasks. For security screening of baggage, the quality of the X-ray image will affect the ability of human operators to detect and identify relevant objects. This paper presents a recent protocol aimed at the development of a perception-based standard for assessing the quality of x-ray images of baggage. This standard provides a quantitative method for assessing x-ray image quality from the display, as presented to security officers. Furthermore, it provides a framework for understanding how different variables (belt speed, scanner orientation, degree of clutter in the image, ambient lighting, etc) affect the quality of images taken from X-Ray scanners at security checkpoints. The paper presents the protocol that was performed, summarizes the analysis and findings, and presents a method for employing the results to assess performance of a scanner system.