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  • 标题:Comparison of Optimization Techniques for Mutual Information based Real Time Image Registration
  • 本地全文:下载
  • 作者:Renu Maria Mathews ; D. Raveena Judie Dolly ; Ann Therese Francy
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2013
  • 卷号:2
  • 期号:3
  • 页码:1280-1284
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Image registration is the process of aligning two or more images of the same scene. A direct image registration approach uses Mutual Information (MI) as an image alignment. Mutual Information is a measure of the similarity of different images. It is robust, accurate and real-time for the both monomodal and multimodal images. It has the ability to perform robust alignment with illumination changes, multi-modality and occlusions. This method also helps to produce accurate image registration results in both monomodal and multimodal images. Time consumption is greatly reduced by this method. The optimization techniques used here are to protect the Mutual Information cost function.
  • 关键词:Image registration; Mutual Information; Multi– modality; Optimization
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