On the properties of some adaptive morphological filters for salt and pepper noise removal - Mines Saint-Étienne Access content directly
Journal Articles Image Analysis & Stereology Year : 2021

On the properties of some adaptive morphological filters for salt and pepper noise removal

Abstract

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%.
Fichier principal
Vignette du fichier
MM J_ JD Image Anal Stereol 2021.pdf (3.81 Mo) Télécharger le fichier
Origin : Publisher files allowed on an open archive

Dates and versions

emse-03205492 , version 1 (22-04-2021)

Licence

Attribution - NonCommercial

Identifiers

Cite

Marisol Mares Javier, Carlos Guillén Galván, Rafael Lemuz Lopez, Johan Debayle. On the properties of some adaptive morphological filters for salt and pepper noise removal. Image Analysis & Stereology, 2021, 40 (1), pp.29 à 38. ⟨10.5566/ias.2418⟩. ⟨emse-03205492⟩
73 View
200 Download

Altmetric

Share

Gmail Facebook X LinkedIn More