A Novel Method for Despeckling of Ultrasound Images Using Cellular Automata-Based Despeckling Filter

Ultrasound images have an inherent property termed as speckle noise that is the outcome of interference between incident and reflected ultrasound waves which reduce image resolution and contrast and could lead to improper diagnosis of any disease. In different approaches for reducing the speckle noi...

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Bibliographic Details
Published inInternational journal of e-health and medical communications Vol. 12; no. 5; pp. 16 - 35
Main Authors Bhardwaj, Ankur, Kaur, Sanmukh, Shukla, Anand Prakash, Shukla, Manoj Kumar
Format Journal Article
LanguageEnglish
Published Hershey IGI Global 01.09.2021
Subjects
Algorithms
Cellular automata
Image contrast
Image filters
Image resolution
Mean square errors
Medical imaging
Methods
Neighborhoods
Open access publishing
Restoration
Robots
Separation
Spatial filtering
Tissues
Ultrasonic imaging
Ultrasonic testing
India
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Summary:Ultrasound images have an inherent property termed as speckle noise that is the outcome of interference between incident and reflected ultrasound waves which reduce image resolution and contrast and could lead to improper diagnosis of any disease. In different approaches for reducing the speckle noise, there exists a class of filters that convert multiplicative noise into additive noise by using algorithmic functions. The current study proposes a cellular automata-based despeckling filter (CABDF) that implements a local spatial filtering framework for the restoration of the noisy image. In the proposed CABDF filter, a dual transition function has been designed which emphasizes the calculation of nearby weighted separation whose loads originate from the CABDF filtered image, including spatial separation, extend inconsistency, and statistical dispersion. The proposed filter found efficient both in terms of filtering and restoration of the original structure of the ultrasound images.
ISSN:1947-315X
1947-3168
DOI:10.4018/IJEHMC.20210901.oa2