1. On the properties of some adaptive morphological filters for salt and pepper noise removal
- Author
-
Marisol Mares-Javier, Johan Debayle, Rafael Lemuz-López, Carlos Guillén-Galván, Facultad de Ciencias Físico Matemáticas [Puebla] (FCFM BUAP), Benemérita Universidad Autónoma de Puebla (BUAP), Facultad de Ciencias de la Computación [Puebla] (FCC BUAP), Département Procédés de Mise en oeuvre des Milieux Granulaires (PMMG-ENSMSE), Centre Sciences des Processus Industriels et Naturels (SPIN-ENSMSE), École des Mines de Saint-Étienne (Mines Saint-Étienne MSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-École des Mines de Saint-Étienne (Mines Saint-Étienne MSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Laboratoire Georges Friedel (LGF-ENSMSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Facultad de Fısico Matemáticas - Benémerita Universidad Autónoma de Puebla, and Facultad de Ciencias de la Computación - Benémerita Universidad Autónoma de Puebla
- Subjects
Acoustics and Ultrasonics ,Materials Science (miscellaneous) ,General Mathematics ,Mathematical morphology ,Grayscale ,Reduction (complexity) ,[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing ,Digital image processing ,adaptive morphological filters ,Radiology, Nuclear Medicine and imaging ,[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering ,Instrumentation ,Mathematics ,lcsh:R5-920 ,business.industry ,Noise (signal processing) ,lcsh:Mathematics ,grayscale images ,[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] ,Salt-and-pepper noise ,Pattern recognition ,noise removal ,Erosion (morphology) ,lcsh:QA1-939 ,Signal Processing ,Dilation (morphology) ,Computer Vision and Pattern Recognition ,Artificial intelligence ,business ,lcsh:Medicine (General) ,Biotechnology - Abstract
International audience; Mathematical Morphology (MM) is a tool that can be applied to many digital image processing tasks that include the reduction of impulsive or salt and pepper noise in grayscale images. The morphological filters used for this task are filters resulting from two basic operators: erosion and dilation. However, when the level of contamination of the image is higher, these filters tend to distort the image. In this work we propose a pair of operators with properties, that better adapt to impulsive noise than other classical morphological filters, it is demonstrated to be increasing idempotent morphological filters. Furthermore, the proposed pair turns out to be a ∧-filter and a ∨-filter which allow to build morphological openings and closings. Finally, they are compared with other filters of the state-of-the-art such as: SMF, DBAIN, AMF and NAFSM, and have shown a better performance in time-quality ratio when the noise level is above 50%.
- Published
- 2021
- Full Text
- View/download PDF