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author:

Zhu, Wuhui (Zhu, Wuhui.) [1] | Jiang, Yuting (Jiang, Yuting.) [2] | Wang, Meiqing (Wang, Meiqing.) [3] (Scholars:王美清) | Lai, Choi-Hong (Lai, Choi-Hong.) [4]

Indexed by:

CPCI-S

Abstract:

SIFT algorithm, with its features invariant to image scaling, rotation and illumination, has been widely adopted in image matching. In order to improve the efficiency of image matching and operation in different scales and different resolution, this paper has utilized adaptive threshold to eliminate unstable keypoints. And a transform based on the weighted least square is adopted to filter the matching point pairs to reduce outliers. Experiments show that the proposed method has better precision and stability than other improved matching algorithms.

Keyword:

adaptive threshold image matching outliers SIFT weighted least squares (WLS)

Community:

  • [ 1 ] [Zhu, Wuhui]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350002, Fujian, Peoples R China
  • [ 2 ] [Jiang, Yuting]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350002, Fujian, Peoples R China
  • [ 3 ] [Wang, Meiqing]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350002, Fujian, Peoples R China

Reprint 's Address:

  • 王美清

    [Wang, Meiqing]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350002, Fujian, Peoples R China

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Source :

2012 5TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP)

Year: 2012

Page: 500-504

Language: English

Cited Count:

WoS CC Cited Count: 2

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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