Characterization And Alkaline Fusion Recovery Process Of Rare Earths And Thorium From Malaysian Monazite

The use of edges to determine an optimal region of interest (ROI) location is increasingly becoming popular for image deblurring. Recent studies have shown that regions with strong edges tend to produce better deblurring results. In this study, a direct method for ROI localization based on edge r...

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Main Author:	Udayakumar, Sanjith
Format:	Thesis
Language:	English
Published:	2019
Subjects:	T Technology
Online Access:	http://eprints.usm.my/48081/1/Characterization%20And%20Alkaline%20Fusion%20Recovery%20Process%20Of%20Rare%20Earths%20And%20Thorium%20From%20Malaysian%20Monazite.pdf
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spelling	my-usm-ep.480812021-11-17T03:42:10Z Characterization And Alkaline Fusion Recovery Process Of Rare Earths And Thorium From Malaysian Monazite 2019-11-01 Udayakumar, Sanjith T Technology TA401-492 Materials of engineering and construction. Mechanics of materials The use of edges to determine an optimal region of interest (ROI) location is increasingly becoming popular for image deblurring. Recent studies have shown that regions with strong edges tend to produce better deblurring results. In this study, a direct method for ROI localization based on edge refinement filter and entropy-based measurement is proposed. Using this method, the randomness of grey level distribution is quantitatively measured, from which the ROI is determined. This method has low computation cost since it contains no matrix operations. The proposed method has been tested using three sets of test images - Dataset I, II and III. Empirical results suggest that the improved edge refinement filter is competitive when compared to the established edge detection schemes and achieves better performance in the Pratt's figure-of-merit (PFoM) and the twofold consensus ground truth (TCGT); averaging at 15.7 % and 28.7 %, respectively. The novelty of the proposed approach lies in the use of this improved filtering strategy for accurate estimation of point spread function (PSF), and hence, a more precise image restoration. As a result, the proposed solutions compare favourably against existing techniques with the peak signal-to-noise ratio (PSNR), kernel similarity (KS) index, and error ratio (ER) averaging at 24.8 dB, 0.6 and 1.4, respectively. Additional experiments involving real blurred images demonstrated the competitiveness of the proposed approach in performing restoration in the absent of PSF. 2019-11 Thesis http://eprints.usm.my/48081/ http://eprints.usm.my/48081/1/Characterization%20And%20Alkaline%20Fusion%20Recovery%20Process%20Of%20Rare%20Earths%20And%20Thorium%20From%20Malaysian%20Monazite.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Kejuruteraan Bahan & Sumber Mineral
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	T Technology T Technology
spellingShingle	T Technology T Technology Udayakumar, Sanjith Characterization And Alkaline Fusion Recovery Process Of Rare Earths And Thorium From Malaysian Monazite
description	The use of edges to determine an optimal region of interest (ROI) location is increasingly becoming popular for image deblurring. Recent studies have shown that regions with strong edges tend to produce better deblurring results. In this study, a direct method for ROI localization based on edge refinement filter and entropy-based measurement is proposed. Using this method, the randomness of grey level distribution is quantitatively measured, from which the ROI is determined. This method has low computation cost since it contains no matrix operations. The proposed method has been tested using three sets of test images - Dataset I, II and III. Empirical results suggest that the improved edge refinement filter is competitive when compared to the established edge detection schemes and achieves better performance in the Pratt's figure-of-merit (PFoM) and the twofold consensus ground truth (TCGT); averaging at 15.7 % and 28.7 %, respectively. The novelty of the proposed approach lies in the use of this improved filtering strategy for accurate estimation of point spread function (PSF), and hence, a more precise image restoration. As a result, the proposed solutions compare favourably against existing techniques with the peak signal-to-noise ratio (PSNR), kernel similarity (KS) index, and error ratio (ER) averaging at 24.8 dB, 0.6 and 1.4, respectively. Additional experiments involving real blurred images demonstrated the competitiveness of the proposed approach in performing restoration in the absent of PSF.
format	Thesis
qualification_level	Master's degree
author	Udayakumar, Sanjith
author_facet	Udayakumar, Sanjith
author_sort	Udayakumar, Sanjith
title	Characterization And Alkaline Fusion Recovery Process Of Rare Earths And Thorium From Malaysian Monazite
title_short	Characterization And Alkaline Fusion Recovery Process Of Rare Earths And Thorium From Malaysian Monazite
title_full	Characterization And Alkaline Fusion Recovery Process Of Rare Earths And Thorium From Malaysian Monazite
title_fullStr	Characterization And Alkaline Fusion Recovery Process Of Rare Earths And Thorium From Malaysian Monazite
title_full_unstemmed	Characterization And Alkaline Fusion Recovery Process Of Rare Earths And Thorium From Malaysian Monazite
title_sort	characterization and alkaline fusion recovery process of rare earths and thorium from malaysian monazite
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Kejuruteraan Bahan & Sumber Mineral
publishDate	2019
url	http://eprints.usm.my/48081/1/Characterization%20And%20Alkaline%20Fusion%20Recovery%20Process%20Of%20Rare%20Earths%20And%20Thorium%20From%20Malaysian%20Monazite.pdf
_version_	1747821878092759040

Characterization And Alkaline Fusion Recovery Process Of Rare Earths And Thorium From Malaysian Monazite

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