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Performance measure for image fusion considering region information 被引量:2

Performance measure for image fusion considering region information
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摘要 An objective performance measure for image fusion considering region information is proposed. The measure not only reflects how much the pixel level information that fused image takes from the source image, but also considers the region information between source images and fused image. The measure is meaningful and explicit. Several simulations were conducted to show that it accords well with the subjective evaluations. An objective performance measure for image fusion considering region information is proposed. The measure not only reflects how much the pixel level information that fused image takes from the source image, but also considers the region information between source images and fused image. The measure is meaningful and explicit. Several simulations were conducted to show that it accords well with the subjective evaluations.
出处 《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 SCIE EI CAS CSCD 2007年第4期559-562,共4页 浙江大学学报(英文版)A辑(应用物理与工程)
基金 Project supported by the Shanghai Leading Academic Disipline Project (No. P1301) the Scientific Research Foundation of Shanghai University of Electric Power (No. K-2005-22) the Common Scien-tific Research Project of Shanghai Academic Committee (No. 06LZ015) the Excellent Young Teacher Foundation of Shanghai (No. Z-2006-11), China
关键词 图象融合 区域信息融合 图象处理 性能测量 Image fusion, Information fusion, Image processing
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参考文献10

  • 1Gang Liu,Zhong-liang Jing,Shao-yuan Sun.Multiresolution image fusion scheme based on fuzzy region feature[J].Journal of Zhejiang University SCIENCE A.2006(2)
  • 2Xydeas, C.S,Petrovic, V.Objective image fusion performance measure[].Electro Lett.2000
  • 3Gemma,P.A General Framework for Multiresolution Image Fusion: From Pixels to Regions. Technical Report PNA-R0211, ISSN 1386-3711[].Center for Mathematics and Computer Science (CWI).2002
  • 4MacQueen,J.B.Some Methods for Classification and Analysis of Multivariate Observations[].Proc th Berke-ley Symposium on Mathematical Statistics and Probabil-ity.1967
  • 5Gemma, P,Henk, H.A New Quality Metric for Image Fusion[].Proc IEEE International Conference on Image Processing.2003
  • 6Wang, Z.J,Djemel, Z,Armenakis, C,Li, D,Li, Q.Q.A comparative analysis of image fusion methods[].IEEE Trans Geosci Remote Sensing.2005
  • 7Blum,R.S.Minimax Robust Image Fusion Using an Estimation Theory Approach[].Proc th International Conference on Information Fusion.2005
  • 8Zhang, Z,Blum, R.S.A Region-based Image Fusion Scheme for Concealed Weapon Detection[].Proc st Annu Conf Information Sciences and Systems.1997
  • 9Yang, J,Blum, R.S.Multi-frame Image Fusion Using the Expectation-Maximization Algorithm[].Proc th Inter- national Conference on Information Fusion.2005
  • 10Qu, G.H,Zhang, D.L,Yan, P.F.Information measure for performance of image fusion[].Electron Lett.2002

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