English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 50122/85141 (59%)
造訪人次 : 7887409      線上人數 : 45
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/77124


    題名: Efficient Wavelet-Based Scale Invariant Features Matching
    作者: Yen, Shwu-Huey, Lin, Nan-Chieh;Chang, Hsiao-Wei
    貢獻者: 淡江大學資訊工程學系
    關鍵詞: Matching;Discrete Wavelet Transform (DWT);Dominate Scale (DS);Scale Invariance;Log-Polar Transform;Feature Point Descriptor
    日期: 2011-10
    上傳時間: 2012-06-01 18:50:06 (UTC+8)
    出版者: Zographou: World Scientific and Engineering Academy and Society
    摘要: Feature points’ matching is a popular method in dealing with object recognition and image matching
    problems. However, variations of images, such as shift, rotation, and scaling, influence the matching correctness. Therefore, a feature point matching system with a distinctive and invariant feature point detector as well as robust description mechanism becomes the main challenge of this issue. We use discrete wavelet transform (DWT) and accumulated map to detect feature points which are local maximum points on the accumulated map. DWT calculation is efficient compared to that of Harris corner detection or Difference of Gaussian (DoG) proposed by Lowe. Besides, feature points detected by DWT are located more evenly on
    texture area unlike those detected by Harris’ which are clustered on corners. To be scale invariant, the dominate scale (DS) is determined for each feature point. According to the DS of a feature point, an appropriate size of region centered at this feature point is transformed to log-polar coordinate system to improve the rotation and scale invariance. To enhance time efficiency and illumination robustness, we modify the contrast-based descriptors (CCH) proposed by Huang et al. Finally, in matching stage, a geometry constraint is used to improve the matching accuracy. Compared with existing methods, the proposed algorithm has better performance especially in scale invariance and blurring robustness.
    關聯: WSEAS Transactions on Signal Processing 7(4), pp.121-130
    顯示於類別:[資訊工程學系暨研究所] 期刊論文

    文件中的檔案:

    沒有與此文件相關的檔案.

    在機構典藏中所有的資料項目都受到原著作權保護.

    TAIR相關文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回饋