Impulsive noise suppression using morphological operators
Published 19 November 2002
Hu Weidong, YU Wen-xian, Luo Aimin
Citations5
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
A new approach to impulsive noise suppression found in desired signals is presented using mathematical morphological operators that incorporate the shape information of the signal in this paper. A brief introduction to these nonlinear signal processing operators, as well as a detailed description of the new algorithm, is presented. Experimental results show that the new algorithm has good performance in impulsive noise suppression.
Keywords
Computer ScienceEngineering
IEEE Transactions on Pattern Analysis and Machine IntelligenceImage Analysis Using Mathematical Morphology
2,702 Citations1987Robert M. Haralick, S. Sternberg +1 more
The tutorial provided in this paper reviews both binary morphology and gray scale morphology, covering the operations of dilation, erosion, opening, and closing and their relations.
IEEE Transactions on Biomedical EngineeringImpulsive noise suppression and background normalization of electrocardiogram signals using morphological operators
178 Citations1989Chee‐Hung Henry Chu, Edward J. Delp
An approach to impulsive noise suppression and background normalization of digitized electrocardiogram signals using mathematical morphological operators that incorporate the shape information for a signal is presented.