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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Image Stitching System Based on ORB Feature-Based Technique and Compensation Blending

Author 1: Ebtsam Adel
Author 2: Mohammed Elmogy
Author 3: Hazem Elbakry

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2015.060907

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 6 Issue 9, 2015.

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Abstract: The construction of a high-resolution panoramic image from a sequence of input overlapping images of the same scene is called image stitching/mosaicing. It is considered as an important, challenging topic in computer vision, multimedia, and computer graphics. The quality of the mosaic image and the time cost are the two primary parameters for measuring the stitching performance. Therefore, the main objective of this paper is to introduce a high-quality image stitching system with least computation time. First, we compare many different features detectors. We test Harris corner detector, SIFT, SURF, FAST, GoodFeaturesToTrack, MSER, and ORB techniques to measure the detection rate of the corrected keypoints and processing time. Second, we manipulate the implementation of different common categories of image blending methods to increase the quality of the stitching process. From experimental results, we conclude that ORB algorithm is the fastest, more accurate, and with higher performance. In addition, Exposure Compensation is the highest stitching quality blending method. Finally, we have generated an image stitching system based on ORB using Exposure Compensation blending method.

Keywords: Image stitching; Image mosaicking; Feature-based approaches; Scale Invariant Feature Transform (SIFT); Speed-up Robust Feature detector (SURF); Oriented FAST and Rotated BRIEF (ORB); Exposure Compensation blending

Ebtsam Adel, Mohammed Elmogy and Hazem Elbakry, “Image Stitching System Based on ORB Feature-Based Technique and Compensation Blending” International Journal of Advanced Computer Science and Applications(IJACSA), 6(9), 2015. http://dx.doi.org/10.14569/IJACSA.2015.060907

@article{Adel2015,
title = {Image Stitching System Based on ORB Feature-Based Technique and Compensation Blending},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.060907},
url = {http://dx.doi.org/10.14569/IJACSA.2015.060907},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {9},
author = {Ebtsam Adel and Mohammed Elmogy and Hazem Elbakry}
}


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