research-article

Parameter Recovery Using Radon Transform

Authors:

Nandita Bhattacharjee,

David Albrecht,

Bala SrinivasanAuthors Info & Claims

MoMM2018: Proceedings of the 16th International Conference on Advances in Mobile Computing and Multimedia

Pages 34 - 43

https://doi.org/10.1145/3282353.3282361

Published: 19 November 2018 Publication History

Abstract

In computer vision, alignment of images plays an important role in different day to day life applications by bringing similar points of images into correspondence. Conventionally, images are aligned by using the extracted features of images. However, the extraction of features is difficult, time consuming and not suitable for low quality images. Whereas pixel based alignment methods are applicable to low quality images and do not require extensive image processing applications. However, these methods are computationally exhaustive that makes it difficult to use for real time applications. Therefore, we need a pixel based method for image alignment that can overcome the limitations of computational complexity. In this paper, we have proposed an efficient Radon transform based method to compute the transformation parameters between two images for aligning them. Moreover, the proposed approach is verified on test images of varying classes and results demonstrate that the proposed method can compute the parameters accurately and efficiently as compared to the existing approaches.

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Cited By

Sayadia SElloumi YKachouri RAkil MAbdallah ABedoui M(2022)Automated method for real-time AMD screening of fundus images dedicated for mobile devicesMedical & Biological Engineering & Computing10.1007/s11517-022-02546-860:5(1449-1479)Online publication date: 18-Mar-2022
https://doi.org/10.1007/s11517-022-02546-8

Parameter Recovery Using Radon Transform
1. Computing methodologies
  1. Artificial intelligence
  2. Computer graphics
2. Mathematics of computing
  1. Mathematical analysis
    1. Numerical analysis

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MoMM2018: Proceedings of the 16th International Conference on Advances in Mobile Computing and Multimedia

November 2018

157 pages

ISBN:9781450364522

DOI:10.1145/3282353

Copyright © 2018 ACM.

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Johannes Kepler University, Linz, Austria
@WAS: International Organization of Information Integration and Web-based Applications and Services
Johannes Kepler University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 November 2018

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MoMM2018

MoMM2018: 16th International Conference on Advances in Mobile Computing and Multimedia

November 19 - 21, 2018

Yogyakarta, Indonesia

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Cited By

Sayadia SElloumi YKachouri RAkil MAbdallah ABedoui M(2022)Automated method for real-time AMD screening of fundus images dedicated for mobile devicesMedical & Biological Engineering & Computing10.1007/s11517-022-02546-860:5(1449-1479)Online publication date: 18-Mar-2022
https://doi.org/10.1007/s11517-022-02546-8

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