电子学报2011，Vol.39Issue(3)：549-554,6.
基于CNN的康普顿背散射图像中违禁品分割方法
Contraband Segmentation of Compton Back-Scattering Images Based on CNN
王怀颖 1杨立瑞 2章毓晋1
作者信息
- 1. 公安部第一研究所,北京102200
- 2. 清华大学电子工程系,北京100084
- 折叠
摘要
Abstract
Compton back-scattering(CBS) is a new technology for ray security inspection , that can enhance accuracy of ex plosive 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 resuits are presented, which demonstrates the successful operation of the proposed algorithm. This new approach is very affordable to parallelism and analog VLSI implementation, which allowing the security inspection of CBS image processing to be performed in real-time.关键词
细胞神经网络(CNN)/康普顿背散射(CBS)/图像分割Key words
cellular neural networks (CNN) /comp ton back-scattering (CBS) /image segmentation分类
信息技术与安全科学引用本文复制引用
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):549-554,6.
