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Gray-Level Feature Based Approach for Correspondence Matching and Elimination of False Matches

  • R. Akshaya
  • Hema P. MenonEmail author
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 30)

Abstract

Matching of interest points (feature points) is a basic and very essential step for many image processing applications. Depending on the accuracy of the matches, the quality of the final application is decided. There are various methods proposed to tackle the problem of correspondence matching. In this paper, a method that makes use of the textural features, mainly gray-level features with respect to a pixel’s neighborhood has been discussed for point matching with an emphasis on its use for image registration. Feature points are obtained from the images under consideration using SURF and are matched using gray-level features. Then, the false matches are removed using a graph-based approach.

Keywords

Correspondence matching GLCM SURF Graphs Textural matching SVD 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringAmrita School of Engineering, Amrita Vishwa VidyapeethamCoimbatoreIndia

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