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Speckle Noise Suppression in Ultrasound Images Using Modular Neural Networks

G. Karthiha*, Dr. S. Allwin

Department of CSE, Infant Jesus College of Engineering, Anna University, Tuticorin, 628251, India

* Corresponding Author: G. Karthiha. Email: email

Intelligent Automation & Soft Computing 2023, 35(2), 1753-1765. https://doi.org/10.32604/iasc.2023.022631

Abstract

In spite of the advancement in computerized imaging, many image modalities produce images with commotion influencing both the visual quality and upsetting quantitative image analysis. In this way, the research in the zone of image denoising is very dynamic. Among an extraordinary assortment of image restoration and denoising techniques the neural network system-based noise suppression is a basic and productive methodology. In this paper, Bilateral Filter (BF) based Modular Neural Networks (MNN) has been utilized for speckle noise suppression in the ultrasound image. Initial step the BF filter is used to filter the input image. From the output of BF, statistical features such as mean, standard deviation, median and kurtosis have been extracted and these features are used to train the MNN. Then, the filtered images from the BF are again denoised using MNN. The ultrasound dataset from the Kaggle site is used for the training and testing process. The simulation outcomes demonstrate that the BF-MNN filtering method performs better for the multiplicative noise concealment in UltraSound (US) images. From the simulation results, it has been observed that BF-MNN performs better than the existing techniques in terms of peak signal to noise ratio (34.89), Structural Similarity Index (0.89) and Edge Preservation Index (0.67).

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APA Style
Karthiha, G., Allwin, D.S. (2023). Speckle noise suppression in ultrasound images using modular neural networks. Intelligent Automation & Soft Computing, 35(2), 1753-1765. https://doi.org/10.32604/iasc.2023.022631
Vancouver Style
Karthiha G, Allwin DS. Speckle noise suppression in ultrasound images using modular neural networks. Intell Automat Soft Comput . 2023;35(2):1753-1765 https://doi.org/10.32604/iasc.2023.022631
IEEE Style
G. Karthiha and D.S. Allwin, "Speckle Noise Suppression in Ultrasound Images Using Modular Neural Networks," Intell. Automat. Soft Comput. , vol. 35, no. 2, pp. 1753-1765. 2023. https://doi.org/10.32604/iasc.2023.022631



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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