RT info:eu-repo/semantics/article
T1 Medical image enhancement with brightness and detail preserving using multiscale top-hat transform by reconstruction
A1 Mello Román, Julio César
A1 Escobar Torres, Ricardo Daniel
A1 Martínez Martínez, Fabiola Beatriz
A1 Vázquez Noguera, José Luis
A1 Legal Ayala, Horacio Andrés
A1 Pinto Roa, Diego Pedro
A2 Universidad Nacional de Asunción. Facultad Politécnica
AB Medical imaging help medical doctors provide faster and more efficient diagnoses to their patients. Medical image quality directly influences diagnosis. However, when medical images are acquired, they often present degradations such as poor detail or low contrast. This work presents an algorithm that improves contrast and detail, preserving the natural brightness of medical images. The proposed method is based on multiscale top-hat transform by reconstruction. It extracts multiple features from the image that are then used to enhance the medical image. To quantify the performance of the proposed method, 100 medical images from a public database were used. Experiments show that the proposal improves contrast, introducing less distortion and preserving the average brightness of medical images.
PB Elsevier
SN 1571-0661
YR 2020
FD 2020-07-31
LK http://hdl.handle.net/20.500.14066/4589
UL http://hdl.handle.net/20.500.14066/4589
LA eng
NO Mello Román, J. C., Escobar, R., Martínez, F., Vázquez Noguera, J. L., Legal-Ayala, H., & Pinto-Roa, D. P. (2020). Medical image enhancement with brightness and detail preserving using multiscale top-hat transform by reconstruction. Electronic Notes in Theoretical Computer Science, 349, 69-80.https://doi.org/10.1016/j.entcs.2020.02.013
NO Consejo Nacional de Ciencia y Tecnología
DS MINDS@UW
RD 03-sep-2026