A Neuro-Fuzzy Framework for Pixel-Level Image Processing
Keywords:
Image processing, fuzzy inference system, quality assessment, Neural networks, membership functionAbstract
Image processing is often affected by noise and uncertainty in pixel intensity values. This paper presentsa neuro-fuzzy inference based approach for pixel-level image processing that combines fuzzy reasoning with neural networks
References
Abut, S.; Okut, H.; Kallail, K.J., “Paradigm Shift from Artificial Neural Networks to Deep Convolutional Neural Networks (DCNNs) in the Field of Medical Image Processing”, Expert Syst. Appl., 244 (2024), 122983.
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Published
2024-09-20
How to Cite
Mahima Chaturvedi, Namrata Kaushal, Jyoti Gupta. (2024). A Neuro-Fuzzy Framework for Pixel-Level Image Processing . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 2973–2980. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4586
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