| 一种基于遗传算法的电容成像图像重建方法 | |
| 牟昌华 ; 彭黎辉 ; 姚丹亚 ; 萧德云 ; MOU Chang-Hua ; PENG Li-Hui ; YAO Dan-Ya ; XIAO De-Yun | |
| 2010-06-09 ; 2010-06-09 | |
| 关键词 | 电容成像 图像重建 遗传算法 迭代算法 Electrical Capacitance Tomography Image Reconstruction Genetic Algorithm Iterative Algorithm TP391.41 |
| 其他题名 | A Genetic Algorithm Based Image Reconstruction Method for Electrical Capacitance Tomography |
| 中文摘要 | 提出一种基于遗传算法的电容成像图像重建方法。该方法以线性反投影算法图像重建结果作为初始图像,选取Tikhonov正则化指标作为适应度函数,利用遗传算法对初始图像重新进行优化处理,选择能够更好反映管道中不同相介质所在位置的像素点,并确定这些像素点灰度值的最大最小值,最后根据最大值和最小值确定像素点的灰度值,该算法充分利用遗传算法对低维空间高效的搜索能力,避免了应用遗传算法直接求取各像素点的灰度值,具有较高的效率。数值计算结果表明该算法对两相流不同流型分布具有良好的适应性,与Landweber方法相比,能在更短的计算时间的情况下,取得更好的重建图像。; In this paper, a new image reconstruction method based on genetic algorithm (GA) for electrical capacitance tomography (ECT) is presented. Using the initial result from the linear back--projection algorithm widely used for ECTimage reconstruction, the GA based method optimizes the threshold, the maximal and the minimal gray value for the image. And the Tikhonov regularization is adopted as the fitness function, which avoids optimizing the gray value for pixel one by one and decreases significantly the dimension of searching space. Then the optimized reconstruction image can be obtained by these three parameters and LBP initial result. Numerical results show that high efficiency, good image quality and applicability can be achieved by using the GA based method. Compared with the Projected Landweber method, the GA based method can reconstruct better image by taking the shorter computation time.; 国家自然科学基金(No.60204003) |
| 语种 | 中文 ; 中文 |
| 内容类型 | 期刊论文 |
| 源URL | [http://hdl.handle.net/123456789/57911]  |
| 专题 | 清华大学 |
| 推荐引用方式 GB/T 7714 | 牟昌华,彭黎辉,姚丹亚,等. 一种基于遗传算法的电容成像图像重建方法[J],2010, 2010. |
| APA | 牟昌华.,彭黎辉.,姚丹亚.,萧德云.,MOU Chang-Hua.,...&XIAO De-Yun.(2010).一种基于遗传算法的电容成像图像重建方法.. |
| MLA | 牟昌华,et al."一种基于遗传算法的电容成像图像重建方法".(2010). |
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