Effect of image denoising on geometric moments in image applications.
Geometric moments have been used in image applications, including watermarking, fingerprint recognition, medical imaging, edge detection, image classification, and image quality assessment. It is utilized due to its invariant properties in which they are invariant to translation, scaling, and rotati...
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my.utm.1072152024-08-28T07:17:31Z http://eprints.utm.my/107215/ Effect of image denoising on geometric moments in image applications. Hassan, Mohd. Fikree Adam, Tarmizi Mingming, Yin Paramesran, Raveendran QA75 Electronic computers. Computer science Geometric moments have been used in image applications, including watermarking, fingerprint recognition, medical imaging, edge detection, image classification, and image quality assessment. It is utilized due to its invariant properties in which they are invariant to translation, scaling, and rotation. However, geometric moments are not robust to noise. The presence of noise in images may affect the accuracy, especially in image applications using geometric moments. Therefore, there is a need to remove the noise before utilizing geometric moments computation. Motivated by this need, this paper presents the positive effects of image denoising on geometric moment computation in image applications. Firstly, noisy images were generated using Gaussian and impulse noises. Then, the Total Variation (TV) denoising method using Alternating Minimization (AM) and Alternating Direction Method of Multipliers (ADMM) were utilized to denoise the images. Next, the geometric moments, in particular, the centroid and central moments, were computed. Finally, the percentage changes were compared. The results show that the geometric moments after the denoising improved significantly. Keeper 2023-09 Article PeerReviewed Hassan, Mohd. Fikree and Adam, Tarmizi and Mingming, Yin and Paramesran, Raveendran (2023) Effect of image denoising on geometric moments in image applications. Journal Of Analysis, 31 (3). pp. 1783-1803. ISSN 2367-2501 http://dx.doi.org/10.1007/s41478-022-00534-7 DOI:10.1007/s41478-022-00534-7 |
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QA75 Electronic computers. Computer science Hassan, Mohd. Fikree Adam, Tarmizi Mingming, Yin Paramesran, Raveendran Effect of image denoising on geometric moments in image applications. |
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Geometric moments have been used in image applications, including watermarking, fingerprint recognition, medical imaging, edge detection, image classification, and image quality assessment. It is utilized due to its invariant properties in which they are invariant to translation, scaling, and rotation. However, geometric moments are not robust to noise. The presence of noise in images may affect the accuracy, especially in image applications using geometric moments. Therefore, there is a need to remove the noise before utilizing geometric moments computation. Motivated by this need, this paper presents the positive effects of image denoising on geometric moment computation in image applications. Firstly, noisy images were generated using Gaussian and impulse noises. Then, the Total Variation (TV) denoising method using Alternating Minimization (AM) and Alternating Direction Method of Multipliers (ADMM) were utilized to denoise the images. Next, the geometric moments, in particular, the centroid and central moments, were computed. Finally, the percentage changes were compared. The results show that the geometric moments after the denoising improved significantly. |
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Article |
author |
Hassan, Mohd. Fikree Adam, Tarmizi Mingming, Yin Paramesran, Raveendran |
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Hassan, Mohd. Fikree Adam, Tarmizi Mingming, Yin Paramesran, Raveendran |
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Hassan, Mohd. Fikree |
title |
Effect of image denoising on geometric moments in image applications. |
title_short |
Effect of image denoising on geometric moments in image applications. |
title_full |
Effect of image denoising on geometric moments in image applications. |
title_fullStr |
Effect of image denoising on geometric moments in image applications. |
title_full_unstemmed |
Effect of image denoising on geometric moments in image applications. |
title_sort |
effect of image denoising on geometric moments in image applications. |
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2023 |
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http://eprints.utm.my/107215/ http://dx.doi.org/10.1007/s41478-022-00534-7 |
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