Yu-cai Dong, Jiang Tian-yuan, Z. Ling, Lin Min, Shi Hong-tao, Cai Ren-mou
{"title":"The analysis of explosive image characteristics based on the fractal dimension of gray level image","authors":"Yu-cai Dong, Jiang Tian-yuan, Z. Ling, Lin Min, Shi Hong-tao, Cai Ren-mou","doi":"10.1109/CSAE.2011.5952929","DOIUrl":null,"url":null,"abstract":"In this paper, the explosive images are converted to gray level image and the interference factor in explosive is removed on the basis of fractal theories and digital graphic processing techniques. The method of box counting dimension is adopted by MATLAB to calculate the fractal dimension of the explosive images. The changes of fractal dimension at various moments are studied, and the change law is thus inferred, which lays the foundation for building explosive models.","PeriodicalId":138215,"journal":{"name":"2011 IEEE International Conference on Computer Science and Automation Engineering","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Computer Science and Automation Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSAE.2011.5952929","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
In this paper, the explosive images are converted to gray level image and the interference factor in explosive is removed on the basis of fractal theories and digital graphic processing techniques. The method of box counting dimension is adopted by MATLAB to calculate the fractal dimension of the explosive images. The changes of fractal dimension at various moments are studied, and the change law is thus inferred, which lays the foundation for building explosive models.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
