Panoramic Dental Radiography Image Enhancement Using Multiscale Mathematical Morphology
Panoramic dental radiography is one of the most used images of the different dental specialties. This radiography provides information about the anatomical structures of the teeth. The correct evaluation of these radiographs is associated with a good quality of the image obtained. In this study, 598...
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doaj-8dce1d770b4d410cbe8837469338da222021-04-29T23:05:28ZengMDPI AGSensors1424-82202021-04-01213110311010.3390/s21093110Panoramic Dental Radiography Image Enhancement Using Multiscale Mathematical MorphologyJulio César Mello Román0Vicente R. Fretes1Carlos G. Adorno2Ricardo Gariba Silva3José Luis Vázquez Noguera4Horacio Legal-Ayala5Jorge Daniel Mello-Román6Ricardo Daniel Escobar Torres7Jacques Facon8Facultad Politécnica, Universidad Nacional de Asunción, San Lorenzo 111421, ParaguayFacultad de Odontología, Universidad Nacional de Asunción, Asunción 001218, ParaguayFacultad de Odontología, Universidad Nacional de Asunción, Asunción 001218, ParaguayFaculdade de Odontologia de Ribeirão Preto, Departamento de Odontologia Restauradora, Universidade de São Paulo, Ribeirão Preto - SP 14040-904, BrazilFacultad Politécnica, Universidad Nacional de Asunción, San Lorenzo 111421, ParaguayFacultad Politécnica, Universidad Nacional de Asunción, San Lorenzo 111421, ParaguayFacultad de Ciencias Exactas y Tecnológicas, Universidad Nacional de Conepción, Concepción 010123, ParaguayFacultad de Ciencias Exactas y Tecnológicas, Universidad Nacional de Conepción, Concepción 010123, ParaguayDepartment of Computer and Electronics, Universidade Federal do Espírito Santo, São Mateus - ES 29932-540, BrazilPanoramic dental radiography is one of the most used images of the different dental specialties. This radiography provides information about the anatomical structures of the teeth. The correct evaluation of these radiographs is associated with a good quality of the image obtained. In this study, 598 patients were consecutively selected to undergo dental panoramic radiography at the Department of Radiology of the Faculty of Dentistry, Universidad Nacional de Asunción. Contrast enhancement techniques are used to enhance the visual quality of panoramic dental radiographs. Specifically, this article presents a new algorithm for contrast, detail and edge enhancement of panoramic dental radiographs. The proposed algorithm is called <i>Multi-Scale Top-Hat transform powered by Geodesic Reconstruction for panoramic dental radiography enhancement</i> (MSTHGR). This algorithm is based on multi-scale mathematical morphology techniques. The proposal extracts multiple features of brightness and darkness, through the reconstruction of the marker (obtained by the Top-Hat transformation by reconstruction) starting from the mask (obtained by the classic Top-Hat transformation). The maximum characteristics of brightness and darkness are added to the dental panoramic radiography. In this way, the contrast, details and edges of the panoramic radiographs of teeth are improved. For the tests, MSTHGR was compared with the following algorithms: Geodesic Reconstruction Multiscale Morphology Contrast Enhancement (GRMMCE), Histogram Equalization (HE), Brightness Preserving Bi-Histogram Equalization (BBHE), Dual Sub-Image Histogram Equalization (DSIHE), Minimum Mean Brightness Error Bi-Histogram Equalization (MMBEBHE), Quadri-Histogram Equalization with Limited Contrast (QHELC), Contrast-Limited Adaptive Histogram Equalization (CLAHE) and Gamma Correction (GC). Experimentally, the numerical results show that the MSTHGR obtained the best results with respect to the Contrast Improvement Ratio (CIR), Entropy (E) and Spatial Frequency (SF) metrics. This indicates that the algorithm performs better local enhancements on panoramic radiographs, improving their details and edges.https://www.mdpi.com/1424-8220/21/9/3110panoramic dental radiographycontrast enhancementmulti-scale mathematical morphologytop-hat transformation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Julio César Mello Román Vicente R. Fretes Carlos G. Adorno Ricardo Gariba Silva José Luis Vázquez Noguera Horacio Legal-Ayala Jorge Daniel Mello-Román Ricardo Daniel Escobar Torres Jacques Facon |
spellingShingle |
Julio César Mello Román Vicente R. Fretes Carlos G. Adorno Ricardo Gariba Silva José Luis Vázquez Noguera Horacio Legal-Ayala Jorge Daniel Mello-Román Ricardo Daniel Escobar Torres Jacques Facon Panoramic Dental Radiography Image Enhancement Using Multiscale Mathematical Morphology Sensors panoramic dental radiography contrast enhancement multi-scale mathematical morphology top-hat transformation |
author_facet |
Julio César Mello Román Vicente R. Fretes Carlos G. Adorno Ricardo Gariba Silva José Luis Vázquez Noguera Horacio Legal-Ayala Jorge Daniel Mello-Román Ricardo Daniel Escobar Torres Jacques Facon |
author_sort |
Julio César Mello Román |
title |
Panoramic Dental Radiography Image Enhancement Using Multiscale Mathematical Morphology |
title_short |
Panoramic Dental Radiography Image Enhancement Using Multiscale Mathematical Morphology |
title_full |
Panoramic Dental Radiography Image Enhancement Using Multiscale Mathematical Morphology |
title_fullStr |
Panoramic Dental Radiography Image Enhancement Using Multiscale Mathematical Morphology |
title_full_unstemmed |
Panoramic Dental Radiography Image Enhancement Using Multiscale Mathematical Morphology |
title_sort |
panoramic dental radiography image enhancement using multiscale mathematical morphology |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2021-04-01 |
description |
Panoramic dental radiography is one of the most used images of the different dental specialties. This radiography provides information about the anatomical structures of the teeth. The correct evaluation of these radiographs is associated with a good quality of the image obtained. In this study, 598 patients were consecutively selected to undergo dental panoramic radiography at the Department of Radiology of the Faculty of Dentistry, Universidad Nacional de Asunción. Contrast enhancement techniques are used to enhance the visual quality of panoramic dental radiographs. Specifically, this article presents a new algorithm for contrast, detail and edge enhancement of panoramic dental radiographs. The proposed algorithm is called <i>Multi-Scale Top-Hat transform powered by Geodesic Reconstruction for panoramic dental radiography enhancement</i> (MSTHGR). This algorithm is based on multi-scale mathematical morphology techniques. The proposal extracts multiple features of brightness and darkness, through the reconstruction of the marker (obtained by the Top-Hat transformation by reconstruction) starting from the mask (obtained by the classic Top-Hat transformation). The maximum characteristics of brightness and darkness are added to the dental panoramic radiography. In this way, the contrast, details and edges of the panoramic radiographs of teeth are improved. For the tests, MSTHGR was compared with the following algorithms: Geodesic Reconstruction Multiscale Morphology Contrast Enhancement (GRMMCE), Histogram Equalization (HE), Brightness Preserving Bi-Histogram Equalization (BBHE), Dual Sub-Image Histogram Equalization (DSIHE), Minimum Mean Brightness Error Bi-Histogram Equalization (MMBEBHE), Quadri-Histogram Equalization with Limited Contrast (QHELC), Contrast-Limited Adaptive Histogram Equalization (CLAHE) and Gamma Correction (GC). Experimentally, the numerical results show that the MSTHGR obtained the best results with respect to the Contrast Improvement Ratio (CIR), Entropy (E) and Spatial Frequency (SF) metrics. This indicates that the algorithm performs better local enhancements on panoramic radiographs, improving their details and edges. |
topic |
panoramic dental radiography contrast enhancement multi-scale mathematical morphology top-hat transformation |
url |
https://www.mdpi.com/1424-8220/21/9/3110 |
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