|
|||||
|
|
| 改进仿射尺度不变特征变换算法的图像配准 | |
| 引用本文： | 范雪婷,张 磊,赵朝贺.改进仿射尺度不变特征变换算法的图像配准[J].计算机应用,2014,34(5):1449-1452. |
| 作者姓名： | 范雪婷 张 磊 赵朝贺 |
| 作者单位： | 1. 国土环境与灾害监测国家测绘地理信息局重点实验室，江苏 徐州 221116； 2. 中国矿业大学 环境与测绘学院，江苏 徐州 221116 3. 山东中煤物探测量总公司，山东 泰安 271021 |
| 基金项目： | 国家自然科学基金资助项目;江苏省测绘科研项目;国土环境与灾害监测国家测绘地理信息局重点实验室开放基金资助项目 |
| 摘 要： | 为了更好地处理匹配效率、重复纹理匹配和仿射不变性匹配等问题，对完全仿射不变特征变换（ASIFT）算法进行两方面改进。匹配框架中特征提取的改进提高了ASIFT算法的匹配效率；利用优化随机采样算法（ORSA）结合以单应矩阵为几何线性约束模型的随机抽样一致性（RANSAC）改进匹配算法，提高了匹配精度和重复纹理结构的适应能力。实验结果表明，提出的改进算法能较好地匹配高度相似纹理，计算量小，计算速度快且精度高。 |
| 关 键 词： | 图像配准 仿射尺度不变特征变换算法 单应矩阵 重复纹理匹配 |
| 收稿时间： | 2013-10-23 |
| 修稿时间： | 2013-12-28 |
Improved ASIFT algorithm for image registration |
|
| FAN Xueting ZHANG Lei ZHAO Chaohe.Improved ASIFT algorithm for image registration[J].journal of Computer Applications,2014,34(5):1449-1452. | |
| Authors: | FAN Xueting ZHANG Lei ZHAO Chaohe |
| Affiliation: | 1. Key Laboratory of Land Environment and Disaster Monitoring, National Administration of Surveying, Mapping and Geoinformation, Xuzhou Jiangsu 221116, China; 2. School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou Jiangsu 221116, China; 3. Shandong Coal Geophysical Survey Corporation, Tai'an Shandong 271021, China |
| Abstract: | Image registration is a well researched topic of computer vision. To deal with matching efficiency, repetitive pattern matching and affine invariant matching better, two improvements over the state-of-the-art Affine-Scale Invariant Feature Transform (ASIFT) algorithm were presented. The feature extraction of matching frame was developed to improve the matching efficiency of the ASIFT algorithm. The second increased the accuracy of matching and the adaptive capacity of repetitive patterns through the use of improved matching algorithm by combining Optimized Random Sample Consensus (ORSA) with Random Sample Consensus (RANSAC) algorithm based on geometric linear constraint model with homography matrix. The experimental results show that the proposed method is able to well match highly repetitive patterns and has smaller calculation, faster speed and higher accuracy as well. |
| Keywords: | |
| 本文献已被 CNKI 等数据库收录！ | |
| 点击此处可从《计算机应用》浏览原始摘要信息 | |
| 点击此处可从《计算机应用》下载全文 | |