RT info:eu-repo/semantics/article
T1 Panoramic dental radiography image enhancement using multiscale mathematical morphology
A1 Mello Román, Julio César
A1 Fretes López, Vicente Reinaldo
A1 Adorno Quevedo, Carlos Gabriel
A1 Gariba Silva, Ricardo
A1 Vázquez Noguera, José Luis
A1 Legal Ayala, Horacio Andrés
A1 Mello Román, Jorge Daniel
A1 Escobar Torres, Ricardo Daniel
A1 Facon, Jacques
A2 Universidad Nacional de Asunción. Facultad Politécnica
AB 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 Multi-Scale Top-Hat transform powered by Geodesic Reconstruction for panoramic dental radiography enhancement (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.
PB Multidisciplinary Digital Publishing Institute
YR 2021
FD 2021-04-29
LK http://hdl.handle.net/20.500.14066/4590
UL http://hdl.handle.net/20.500.14066/4590
LA eng
NO Mello Román, J. C., Fretes, V. R., Adorno, C. G., Gariba Silva, R., Vázquez Noguera, J. L., Legal-Ayala, H., Mello-Román, J. D., Escobar Torres, R. D., & Facon, J. (2021). Panoramic dental radiography image enhancement using multiscale mathematical morphology. Sensors, 21(9), Article 3110.https://doi.org/10.3390/s21093110
NO Correspondence: jlvazquez@pol.una.py.
NO This article belongs to the Special Issue Sensing and Imaging Technology in Dentistry.
NO Consejo Nacional de Ciencia y Tecnología
DS MINDS@UW
RD 03-sep-2026