頁籤選單縮合
題 名 | Matching of Multi-Exposure Images |
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作 者 | Zhou, Yanjun; Yang, Li; Luo, Man; Chang, Shu; Kong, Jun; | 書刊名 | Journal of Management Science & Statistical Decision |
卷 期 | 7:1 2010.03[民99.03] |
頁 次 | 頁84-87 |
分類號 | 312.1 |
關鍵詞 | Multi-exposure image matching; Brightness-spaces; Invariant feature points; |
語 文 | 英文(English) |
英文摘要 | 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. |
本系統中英文摘要資訊取自各篇刊載內容。