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Author:

Lei, Fei (Lei, Fei.) | Ren, Wei (Ren, Wei.) | Lv, Lu (Lv, Lu.)

Indexed by:

CPCI-S EI Scopus

Abstract:

An improved algorithm for image mosaic is proposed based on traditional Harris corner detection method. First, by modifying the corner detection area, and corner response function, you can detect the corners more accurately. Then use a method based on K-d tree and RANSAC to match the feature points and purify mismatching points. At last, using the algorithm based on Poisson equation to fuse the spliced images and complete image mosaic. The simulation shows that the method can remove redundant feature points effectively, improve the image mosaic accuracy and robustness, it is good to complete the image mosaic, and has good practicability.

Keyword:

Poisson fusion Image mosaic Harris corner Corner detection

Author Community:

  • [ 1 ] [Lei, Fei]Beijing Univ Technol, Elect Informat & Control Engn Coll, Beijing, Peoples R China
  • [ 2 ] [Ren, Wei]Beijing Univ Technol, Elect Informat & Control Engn Coll, Beijing, Peoples R China
  • [ 3 ] [Lv, Lu]Beijing Univ Technol, Elect Informat & Control Engn Coll, Beijing, Peoples R China

Reprint Author's Address:

  • [Lei, Fei]Beijing Univ Technol, Elect Informat & Control Engn Coll, Beijing, Peoples R China

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Source :

2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMMUNICATION NETWORKS (CICN)

ISSN: 2375-8244

Year: 2015

Page: 378-381

Language: English

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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