期刊刊名：管理科學與統計決策 　 卷期：7卷1期

篇名出版日期：2010年3月1日

作者：Yanjun Zhou,Li Yang, Man Luo,Shu Chang,Jun Kong

語言：English

關鍵字：multi-exposure image matching,brightness-spaces,invariant feature points

被點閱次數：0次

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摘要：
In this paper, a method for matching multi-exposure images is introduced. By extracting feature points from the brightness-spaces which are built by multiplying the contrast stretching function with a series of parameters by the input image, we can obtain interesting points robustly even under large illumination, rotation and scale changes. We use the scale invariant feature transform (SIFT) description to describe these points. The experimental results show that the proposed algorithm has good effects on dealing with the matching of multiexposure images and better than the SIFT method, especially,upon the extracting the correct matching numbers.

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