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2020影响因子

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## 留言板

 引用本文: 张桂梅, 江少波, 储珺. 基于弦高点和遗传算法的仿射配准. 自动化学报, 2013, 39(9): 1447-1457.
ZHANG Gui-Mei, JIANG Shao-Bo, CHU Jun. Affine Registration Based on Chord Height Point and Genetic Algorithm. ACTA AUTOMATICA SINICA, 2013, 39(9): 1447-1457. doi: 10.3724/SP.J.1004.2013.01447
 Citation: ZHANG Gui-Mei, JIANG Shao-Bo, CHU Jun. Affine Registration Based on Chord Height Point and Genetic Algorithm. ACTA AUTOMATICA SINICA, 2013, 39(9): 1447-1457.

## Affine Registration Based on Chord Height Point and Genetic Algorithm

Funds:

Supported by National Basic Research Program of China (973 Program) (2009CB320902), National Natural Science Foundation of China (61063030), and Natural Science Foundation of Jiangxi Province (2010GZS0168)

• 摘要: 针对复杂场景中目标由于成像畸变、部分遮挡和局部缺失难于识别的难题, 提出了一种新的特征点——弦高点, 将其和遗传算法相结合用于图像的仿射配准. 算法首先给出了弦高点的定义, 并证明了其仿射不变性; 然后,应用遗传算法搜索模型和目标轮廓上两对对应点, 以弦高点作为第三对对应点, 求解最优的仿射变换矩阵; 最后,对遗传算法搜索的结果再进行线性搜索, 提高配准的精度. 本文利用 LTS Hausdorff距离(Least trimmed square Hausdorff distance, LTS-HD) 进行度量, 能有效克服部分遮挡或局部缺失的影响. 由于采用遗传算法, 并只需搜索两对对应点, 配准的速度得到提高. 理论分析和实验结果均表明, 该算法能有效地进行仿射配准, 并能处理部分遮挡或局部缺失.
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##### 出版历程
• 收稿日期:  2012-06-15
• 修回日期:  2012-11-29
• 刊出日期:  2013-09-20

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