| 一种多目标优化重建方法在气体浓度层析成像中的应用 |
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| 引用本文： | 王殊,刘克中,鄢舒.一种多目标优化重建方法在气体浓度层析成像中的应用[J].量子电子学报,2005,22(1):34-38. |
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| 作者姓名： | 王殊 刘克中 鄢舒 |
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| 作者单位： | 华中科技大学电子信息与工程系信号处理与智能技术中心,湖北,武汉,430074 |
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| 摘 要： | 为了克服传统的少射线图像重建方法-ART对噪声敏感而导致的重建图像质量差的问题,在考虑气体扩散时其浓度二维分布特点的基础上,提出了一种利用多目标优化的方法来重建气体二维浓度分布图的方法.实验表明,该算法对改善气体浓度层析成像中的噪声对重建结果的影响具有较好的效果.
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| 关 键 词： | 图像处理 图像重建 差分吸收 多目标优化 |
| 文章编号： | 1007-5461(2005)01-0034-05 |
| 收稿时间： | 2003/9/10 |
| 修稿时间： | 2003年9月10日 |
A multi-object optimization reconstruction technique for gas density computer tomography |
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| WANG Shu,LIU Ke-zhong,YAN Shu.A multi-object optimization reconstruction technique for gas density computer tomography[J].Chinese Journal of Quantum Electronics,2005,22(1):34-38. |
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| Authors: | WANG Shu LIU Ke-zhong YAN Shu |
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| Abstract: | As a common image reconstruction algorithm for limited projection data, algebraic reconstruction technique has some disadvantages such as sensitive to the noise and bad reconstructed result for the noise. Considering the characteristics of the distribution of the gas density, a novel image reconstruction method named multi-object optimization image reconstruction was proposed. It is showed that the scheme can reduce the impact of the noise and improve the reconstructed image quality. |
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| Keywords: | image processing image reconstruction difference absorption multi-object optimization |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
