{"title":"x射线图像中感兴趣目标的识别","authors":"Carsten K. Oertel, P. Bock","doi":"10.1109/AIPR.2006.25","DOIUrl":null,"url":null,"abstract":"The objective of this research is to automatically detect and locate devices-of-interest (DOI) in x-ray images, even if partially obscured by devices of no interest, using a new ALISA Component Module. This preliminary study was performed using a single DOI, a 9mm Colt Beretta, but the solution method can easily accommodate other DOIs. Results obtained in real-time (a few seconds) revealed a robust and accurate classifier that could easily assist security personnel at the defined venue: carry-on luggage x-ray machines in airports. This research project was funded by the defense threat reduction agency (DTRA).","PeriodicalId":375571,"journal":{"name":"35th IEEE Applied Imagery and Pattern Recognition Workshop (AIPR'06)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Identification of Objects-of-Interest in X-Ray Images\",\"authors\":\"Carsten K. Oertel, P. Bock\",\"doi\":\"10.1109/AIPR.2006.25\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The objective of this research is to automatically detect and locate devices-of-interest (DOI) in x-ray images, even if partially obscured by devices of no interest, using a new ALISA Component Module. This preliminary study was performed using a single DOI, a 9mm Colt Beretta, but the solution method can easily accommodate other DOIs. Results obtained in real-time (a few seconds) revealed a robust and accurate classifier that could easily assist security personnel at the defined venue: carry-on luggage x-ray machines in airports. This research project was funded by the defense threat reduction agency (DTRA).\",\"PeriodicalId\":375571,\"journal\":{\"name\":\"35th IEEE Applied Imagery and Pattern Recognition Workshop (AIPR'06)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-10-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"35th IEEE Applied Imagery and Pattern Recognition Workshop (AIPR'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AIPR.2006.25\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"35th IEEE Applied Imagery and Pattern Recognition Workshop (AIPR'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIPR.2006.25","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Identification of Objects-of-Interest in X-Ray Images
The objective of this research is to automatically detect and locate devices-of-interest (DOI) in x-ray images, even if partially obscured by devices of no interest, using a new ALISA Component Module. This preliminary study was performed using a single DOI, a 9mm Colt Beretta, but the solution method can easily accommodate other DOIs. Results obtained in real-time (a few seconds) revealed a robust and accurate classifier that could easily assist security personnel at the defined venue: carry-on luggage x-ray machines in airports. This research project was funded by the defense threat reduction agency (DTRA).