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论文:2017,Vol:35,Issue(4):586-590 |
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引用本文： |
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余瑞星, 吴虞霖, 曹萌, 张莹. 基于边缘与角点相结合的目标提取与匹配算法[J]. 西北工业大学学报 |
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Yu Ruixing, Wu Yulin, Cao Meng, Zhang Ying. Target Extraction and Image Matching Algorithm Based on Combination of Edge and Corner[J]. Northwestern polytechnical university |
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| 基于边缘与角点相结合的目标提取与匹配算法 |
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| 余瑞星1, 吴虞霖1, 曹萌1, 张莹2 |
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1. 西北工业大学 航天学院, 陕西 西安 710072;
2. 西安卫星测控中心, 陕西 西安 710043 |
| 摘要: |
| 针对红外图像与可见光图像匹配困难的现状，提出一种基于边缘与角点相结合的目标提取与匹配算法。首先考虑红外与可见光图像的差异，采用边缘与角点相结合的方法直接提取红外与可见光图像中的目标区域，剔除无效信息。相似性度量采用傅里叶描述子方法。实验结果表明，该算法通过定位显著性区域，有效提升了算法的执行效率与匹配精度，与傅里叶描述子方法和CSS方法相比，新方法匹配准确精度分别提高了27.9%和17.6%；相比于傅里叶描述子耗时减少了39.1%。 |
| 关键词:
图像匹配
目标提取
边缘
角点
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| Target Extraction and Image Matching Algorithm Based on Combination of Edge and Corner |
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| Yu Ruixing1, Wu Yulin1, Cao Meng1, Zhang Ying2 |
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1. School of Astronautics, Northwestern Polytechnical University, Xi'an 710072, China;
2. Xi'an Satellite Control Center, Xi'an 710043, China |
| Abstract: |
| To accurately match infrared and visible image, we propose a target extraction and matching algorithm based on edge and corner. We propose a method to obtain object area to increase the matching precision and speed. The method, considering the difference between infrared and visible images, combines the edge and corner detecting method to extract the target area and excludes background in infrared and visible images. Similarity measure in matching is the Fourier. The experimental results show that our method increases the average accuracy 27.9% in matching and saves 39.1% timing compared with the Fourier descriptor method. At the same time, our method increases the average accuracy 17.6% in matching compared with CSS method. |
| Key words:
image matching
target extraction
edge
corner
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| 收稿日期: 2017-03-01
修回日期:
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| DOI: |
| 基金项目: 上海航天科技创新基金（SAST2015040）、航空科学基金（2013153003、20160153001）与西北工业大学本科毕业设计重点扶持项目资助 |
| 通讯作者:
Email： |
| 作者简介: 余瑞星(1978—),女,西北工业大学副教授,主要从事图像处理、目标识别及仿生技术的研究。
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| 相关功能 |
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| 作者相关文章 |
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| 余瑞星 在本刊中的所有文章 |
| 吴虞霖 在本刊中的所有文章 |
| 曹萌 在本刊中的所有文章 |
| 张莹 在本刊中的所有文章 |
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