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论文:2013,Vol:31,Issue(1):25-28 |
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引用本文： |
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朱亚辉, 彭国华. 基于奇异值分解的图像融合效果综合评价研究[J]. 西北工业大学 |
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Zhu Yahui, Peng Guohua. A Novel and Better Performance Evaluation Algorithm for Image Fusion Based on Singular Value Decomposition[J]. Northwestern polytechnical university |
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| 基于奇异值分解的图像融合效果综合评价研究 |
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| 朱亚辉, 彭国华 |
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| 西北工业大学 理学院, 陕西 西安 710072 |
| 摘要: |
| 针对图像融合效果中存在的"多评价结论非一致性"问题,提出了一种基于奇异值分解的图像融合效果综合评价方法。首先对多个性能指标组成的序值矩阵进行奇异值分解,并运用一致可信度指标确定序值矩阵的近似矩阵,而近似矩阵是对原有矩阵的优化。该方法具有提取多评价结论共性信息,削弱极端评价结论影响,评价结果易于定量表示,更加精确、客观,区分度大,可靠性高等优点。实验结果表明,该评价方法具有较好的实时性和准确性,进一步丰富和完善图像融合理论框架具有启发意义和实用价值。 |
| 关键词:
图像融合
效果评价
综合方法
奇异值分解
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| A Novel and Better Performance Evaluation Algorithm for Image Fusion Based on Singular Value Decomposition |
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| Zhu Yahui, Peng Guohua |
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| Department of Applied Mathematics,Northwestern Polytechnical University,Xi'an 710072,China |
| Abstract: |
| An evaluation issue of image fusion method based on SVD (singular value decomposition) is put forward aiming at the inconsistencies among the evaluation conclusions drawn from analyses with different methods.In thisway, the SVD is done for the numerical matrix composed of multiple inconsistency conclusions.Then, an approxi-mate conclusion matrix is given by equilibrating the consistency-reliability indices.The method has the advantagesof picking up common information from multi-evaluations, weakening the impact due to extreme evaluation conclu-sions.Experimental analysis shows that the proposed method performs well on validity, real-time, precision, andobjectivity. |
| Key words:
algorithms
image fusion
singular value decomposition;performance evaluation
synthesis method
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| 收稿日期: 2012-03-12
修回日期:
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| DOI: |
| 基金项目: 国家自然科学基金(61070233)资助 |
| 通讯作者:
Email： |
| 作者简介: 朱亚辉(1981-)，女，西北工业大学博士研究生，主要从事数字图像处理研究。
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参考文献: |
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[1] Goshtasby A A,Nikolov S.Image Fusion: Advances in the State of the Art.Information Fusion,2007,8(2): 114-118
[2] Dixon T D,Canga E F,Noyes J M,et al.Methods for the Assessment of Fused Images.ACM Trans on Applied Perception,2006,3(3): 309-332
[3] Dixon T D,Canga E F,Nikolov S G,et al.Selection of Image Fusion Quality Measures: Objective,Subjective,and Metric As-sessment.Journal of Optical Society of America,2007,24(12): 125-135
[4] 郭亚军,易平涛.基于奇异值分解的多评价结论集结方法.东北大学学报(自然科学版),2007,28(2): 278-281Guo Yajun,Yi Pingtao.A Multi-Evaluation Conclusion Aggregation Method Based on Singular Value Decomposition.Journal ofNortheastern University,2007,28(2): 278-281 (in Chinese)
[5] 何贵青,陈世浩,田 沄等.多传感器图像融合效果综合评价研究.计算机学报,2008,31 (3): 486-492He Guiqing,Chen Shihao,Tian Yun,et al.Synthesis Performance Evaluation of Multi-Sensor Image Fusion.Chinese Jourmalof Computers,2008,31(3): 486-492 (in Chinese)
[6] 周浦城,王 峰,崔逊学.基于逼近理想解排序的图像融合效果评价方法.系统工程与电子技术,2011,33(3): 681-684Zhou Pucheng,Wang Feng,Cui Xunxue.Performance Evaluation Approach to Image Fusion Based on Ordering Approximate toIdeal Solution.Systems Engineering and Electronics,2011,33(3): 681-684 (in Chinese)
[7] 何贵青,齐 华,王 毅.基于多层次灰色关联分析的图像融合效果评价方法.西北工业大学学报,2007,25(1):126-131He Guiqing,Qi Hua,Wang Yi.A Novel and Better Performance Evaluation Algorithm for Image Fusion Based on HierarchicalGrey Relational Analysis.Journal of Northwestern Polytechnical University,2007,25(1): 126-131 (in Chinese)
[8] 刘晓翔,郝重阳,何贵青等.一种基于光照模型的多源遥感图像融合算法.西北工业大学学报,2004,22(6): 761-764Liu Xiaoxiang,Hao Chongyang,He Guiqing,et al.A Better Multi-Sensor Image Fusion Method in Remote Sensing.Journal of Northwestern Polytechnical University,2004,22(6): 761-764 (in Chinese) |
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