A united classification system of X-ray image based on fuzzy rule and neural networks
The detection of explosives in passengersluggageis an important area in public traffic security.Thispaper presents a united classification system fordetecting explosives based on fuzzy rule and neuralnetworks.Due to imaging and influence of outerenvironment,preprocessing is firstly needed toimprove the quality of X-ray images.Then,a testpattern may be considered as several possible objectswith different degrees through the multi-level fuzzyclassifier.Finally,the result of multi-level fuzzyclassifier will be reconsidered through the parallelneural networks classifier.From the experienceresults,the united classification system performs well.
Dongmei Liu Zhaoxia Wang
Department of Computer Science and Technology,Nanjing University of Science and Technology,Nanjing,J Department of Computer Science and Technology,Wuhan University of Science and Technology,Wuhan,HubeL
国际会议
厦门
英文
717-722
2008-11-17（万方平台首次上网日期，不代表论文的发表时间）