摘要
本文提出一种二值截面重建的新算法．算法针对截面的二值特性用模式识别方法进行截面重建．计算机模拟结果表明所提出的算法有所需投影角少，检出微小缺陷能力强，在观测角度受限时仍有良好重建性能等优点．本文描述了算法的详细步骤和实现算法的神经网结构，并对网络稳定性作了分析，提出了解决稳定性问题的措施，并给出一组计算机模拟结果．
A new algorithm for reconstructing binary section from projections is proposed. Based on the binarity of section to be reconstructed, the algorithm uses pattern recognition instead of estimation for reconstruction. The computer simulation results have shown that the algorithm has following advantages: only a .few projections are needed, it can detect fine defects, it still works well in the limited view condition.In this paper the algorithm is described in detail, together with its Neural Network implementation. A method to guarantee the stability of the NN is proposed. A set of simulating results are given.
出处
《自动化学报》
EI
CSCD
北大核心
1994年第4期445-451,共7页
Acta Automatica Sinica
关键词
模式识别
神经网络
截面
重建
image reconstruction
pattern recognition
neural networks.
