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基于CNN的康普顿背散射图像中违禁品分割方法
引用本文:王怀颖,杨立瑞,章毓晋. 基于CNN的康普顿背散射图像中违禁品分割方法[J]. 电子学报, 2011, 39(3): 549-554
作者姓名:王怀颖  杨立瑞  章毓晋
作者单位:公安部第一研究所;清华大学电子工程系;
摘    要:康普顿背散射(CBS)技术是一项较新的射线安检技术,可以提高复杂背景下安检设备对爆炸物等有机违禁品的探测力度,这其中一个重要环节就是图像中违禁品的分割问题.本文提出了一种基于细胞神经网络(CNN)的CBS图像滤波及分割方法,在此基础上又提出了一种基于CNN和数学形态学的孤立点滤除方法,并对这两种方法进行了详细分析,给出...

关 键 词:细胞神经网络(CNN)  康普顿背散射(CBS)  图像分割
收稿时间:2009-10-28

Contraband Segmentation of Compton Back-Scattering Images Based on CNN
WANG Huai-ying,YANG Li-rui,ZHANG Yu-jin. Contraband Segmentation of Compton Back-Scattering Images Based on CNN[J]. Acta Electronica Sinica, 2011, 39(3): 549-554
Authors:WANG Huai-ying  YANG Li-rui  ZHANG Yu-jin
Affiliation:WANG Huai-ying1,2,YANG Li-rui1,ZHANG Yu-jin2(1.First Research Institute of Ministry of Public Security,Beijing 102200,China,2.Department of Electronics Engineering,Tsinghua University,Beijing 100084,China)
Abstract:Compton back-scattering(CBS) is a new technology for ray security inspection,that can enhance accuracy of explosive detection,such as organic contraband.For this task,contraband segmentation of image is very important.One new approach for Compton back-scattering(CBS) image filtering and segmentation using CNN is proposed in this paper.Furthermore,one new way for eliminating isolated point based on CNN and morphologic method is also described.Some detailed analyses and practical results are presented,which d...
Keywords:cellular neural networks(CNN)  compton back-scattering(CBS)  image segmentation  
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