RESEARCH ON SIFT IMAGE RECOGNITION ALGORITHM COMBINED WITH RANSAC

SIFT feature extraction algorithm has good invariance in illumination, scale transformation and affine transformation. Background information is far more than the target information in the image. In order to improve the matching efficiency of the SIFT algorithm, a scheme is proposed in this paper. B...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of advanced research in computer science 2018-01, Vol.9 (1)
Hauptverfasser: Cheng, Dongming, Pang, Yu
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:SIFT feature extraction algorithm has good invariance in illumination, scale transformation and affine transformation. Background information is far more than the target information in the image. In order to improve the matching efficiency of the SIFT algorithm, a scheme is proposed in this paper. By using the RANSAC algorithm to optimize the spatial extreme point detection method, the wrong matching point is eliminated and the matching efficiency of the algorithm is improved.
ISSN:0976-5697