Improved SIFT Feature Extraction of Image Registration Algorithm Research

Ping Han; Huifang Hou

doi:10.2991/icecee-15.2015.313

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Improved SIFT Feature Extraction of Image Registration Algorithm Research

Ping Han Huifang Hou

Year: 2015 Journal: Advances in computer science research Publisher: Atlantis Press

DOI: 10.2991/icecee-15.2015.313

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Abstract

This paper uses Isoapm's dimensions to improve sift matching algorithm and reduce the computation. The characteristics of the SIFT are determined by using association rules support to further correct match points. The experimental results show that the algorithm is effective, which improves the speed and reduces the registration error.

Keywords:

Scale-invariant feature transform Computation Computer science Artificial intelligence Matching (statistics) Feature extraction Image registration Computer vision Pattern recognition (psychology) Blossom algorithm Feature (linguistics) Image (mathematics) Algorithm Mathematics Statistics

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Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Algorithms and Data Compression

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Algorithms and Applications

Physical Sciences → Engineering → Control and Systems Engineering

Improved SIFT Feature Extraction of Image Registration Algorithm Research

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