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Optimized Image Mosaicing with Moment Invariants and SIFT Features


Affiliations
1 Department of Information Technology, B.V.M. Engineering College, V.V.Nagar, India
2 Department of Computer Engineering, B.V.M. Engineering College, V.V.Nagar, India
 

In the field of Image mosaicing, much research has been done to fulfil the two major challenges, time complexity and quality improvement. Proposed method is a pre-processing step before actual image stitching carried out.  The method aims to find out the overlapping regions in two images. Thus features can be extracted from these overlapping regions and not from the whole images, which result into reduction of computation time. For detecting overlapping portion, gradient based edge extraction method and invariant moments are used. In the deduced region, SIFT features are extraction to determine the matching features. The registration process carried out by RANSAC algorithm and final output mosaic will obtained by warping the images. An optimized approach to calculate the moment difference values is presented to improve time efficiency and quality.

Keywords

Image Registration, Edge Detection, Moment Invariants, Feature Extraction, Image Mosaicing, SIFT, RANSAC.
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  • Optimized Image Mosaicing with Moment Invariants and SIFT Features

Abstract Views: 299  |  PDF Views: 3

Authors

Vikram Agrawal
Department of Information Technology, B.V.M. Engineering College, V.V.Nagar, India
Dilipsinh Bheda
Department of Computer Engineering, B.V.M. Engineering College, V.V.Nagar, India

Abstract


In the field of Image mosaicing, much research has been done to fulfil the two major challenges, time complexity and quality improvement. Proposed method is a pre-processing step before actual image stitching carried out.  The method aims to find out the overlapping regions in two images. Thus features can be extracted from these overlapping regions and not from the whole images, which result into reduction of computation time. For detecting overlapping portion, gradient based edge extraction method and invariant moments are used. In the deduced region, SIFT features are extraction to determine the matching features. The registration process carried out by RANSAC algorithm and final output mosaic will obtained by warping the images. An optimized approach to calculate the moment difference values is presented to improve time efficiency and quality.

Keywords


Image Registration, Edge Detection, Moment Invariants, Feature Extraction, Image Mosaicing, SIFT, RANSAC.

References





DOI: https://doi.org/10.13005/ojcst%2F10.01.09