基于弦高点和遗传算法的仿射配准

张桂梅; 江少波; 储珺

doi:10.3724/SP.J.1004.2013.01447

基于弦高点和遗传算法的仿射配准

doi: 10.3724/SP.J.1004.2013.01447

1.
南昌航空大学航空制造工程学院南昌 330063;
2.
南昌航空大学信息工程学院南昌 330063;
3.
南昌航空大学软件学院南昌 330063

基金项目:

国家重点基础研究发展计划 (973 计划) (2009CB320902); 国家自然科学基金(61063030); 江西省自然科学基金(2010GZS0168) 资助

详细信息

作者简介:
张桂梅南昌航空大学航空制造工程学院教授.主要研究方向为图像处理, 计算机视觉与模式识别.E-mail: guimei.zh@163.com

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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

Affine Registration Based on Chord Height Point and Genetic Algorithm

1.
School of Aeronautical Manufacturing Engineering, Nanchang Hangkong University, Nanchang 330063;
2.
School of Information Engineering, Nanchang Hangkong University, Nanchang 330063;
3.
School of Software, Nanchang Hangkong University, Nanchang 330063

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

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.
- 仿射配准 /
- LTS Hausdorff距离 /
- 遗传算法 /
- 弦高点
Abstract: It is difficult to recognize objects when they are distorted and partially occluded or broken. In order to solve the problems, a new registration algorithm combining chord height point with genetic algorithm is proposed in this paper. Firstly, we define the chord height point and prove it is affine invariant. Then, the global optimal affine transformation matrix is calculated by using three pairs of corresponding points, where two corresponding points in the contours of model and target are searched by the genetic algorithm, and the chord height point is used as the third pair of corresponding points. Finally, linear search is introduced to search the local optimal affine transform matrix, and the accuracy of registration is improved. We use least trimmed square Hausdorff distance (LTS-HD) to measure the similarity between the model and target, so our method can deal with object partially occlued and broken. Furthermore, the registration speed is improved by using genetic algorithm to search corresponding points and only searching two pairs of corresponding points. The theory analysis and experimental results show that our algorithm can be effectively used for affine registration, and can deal with objects partially occlued and broken.
- Affine registration /
- least trimmed square Hausdorff distance (LTS-HD) /
- genetic algorithm /
- chord height point

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