| 基于神经网络的金属断口3维重建 |
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| 引用本文： | 康戈文,任文伟,甘春泉. 基于神经网络的金属断口3维重建[J]. 中国图象图形学报, 2007, 12(3): 402-405 |
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| 作者姓名： | 康戈文 任文伟 甘春泉 |
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| 作者单位： | 成都电子科技大学自动化工程学院 成都610054 |
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| 基金项目： | 四川省杰出青年学科带头人培养计划 |
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| 摘 要： | 金属断口SEM图像的3维重建能更精确地定量分析断口,因而在材料断裂研究中具有重要意义。为了对金属断口SEM图像进行重建,根据金属断口表面具有的分形特征,提出了以高度z连续作为约束条件,利用神经网络对单幅断口SEM电镜图像进行重建的算法,并在实验中取得很好的重建效果。该算法对于未知光源方向的粗糙表面的3维重建具有较大的理论价值和实用价值。
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| 关 键 词： | 金属断口 神经网络 3维重建 |
| 文章编号： | 1006-8961（2007）03-0402-04 |
| 修稿时间： | 2005-01-13 |
Shape from Shading of Metal Faultage Based on Neural Network |
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| KANG Ge-wen,REN Wen-wei,GAN Chun-quan,KANG Ge-wen,REN Wen-wei,GAN Chun-quan and KANG Ge-wen,REN Wen-wei,GAN Chun-quan. Shape from Shading of Metal Faultage Based on Neural Network[J]. Journal of Image and Graphics, 2007, 12(3): 402-405 |
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| Authors: | KANG Ge-wen REN Wen-wei GAN Chun-quan KANG Ge-wen REN Wen-wei GAN Chun-quan KANG Ge-wen REN Wen-wei GAN Chun-quan |
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| Affiliation: | School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 610054 |
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| Abstract: | It is important for 3D Reconstruction of SEM of metal fatigued fracture to study on material fracture which makes quantitatively analysis of the fracture more accurately.As the faultage of metal has excellent fractal characteristic,a new method of calculating SFS(shape from shading) based on neural network model has been proposed and applied to reconstruct the 3D morphology for single SEM of metal fatigued fracture.The experimental results show that the algorithm is effective for the 3D reconstruction of the coarse surface with unknown light direction. |
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| Keywords: | SEM |
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