基于最大熵电容成象图象重建算法的研究

Image Reconstruction Algorithm for Capacitance Tomography Based on Maximum Entropy

针对电容层析成象图象重建算法存在的不足 ,充分考虑灵敏度和介质分布不均匀对图象重建质量的影响 ,利用信息熵的概念提出最大熵图象重建算法。实验表明 ,图象重建模型是可靠的 ,最大熵图象重建算法重建精度优于反投影算法 ,它具有简单快捷、实时性好等优点 。

The general principles of capacitance tomography are explained. The non homogeneity of sensitivity and medium distribution is considered. According to information theory, a new model based on maximum entropy for image reconstruction algorithm is proposed. Experiment results show that the image reconstruction model is much better and faster than the conventional back projection method.