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A Study on Different Fuzzy Image Enhancement Techniques

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Proceedings of 3rd International Conference on Mathematical Modeling and Computational Science (ICMMCS 2023)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1450))

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Abstract

Modern medical science has seen a revolution in medical image processing. We would all be able to diagnose and treat patients without side effects. Medical imaging allows doctors to see patients without opening them. Medical imaging allows us to learn more about human neurobiology and human behavior. Brain imaging is used to study why some people become addicted to cocaine over time. Medical imaging combines biology, chemistry, and physics. The technology created can be used in many other fields. This article explains how medical imaging can be improved in the frequency and time domains. Contrast enhancement is performed using the local transform histogram method. The images are then enhanced using Fuzzy-Neural techniques. Fuzzy logic and fuzzy set are very good at dealing with multiple uncertainties. Recent research has focused on the ability of fuzzy theory to enhance low-contrast images and fuzzy technique and better approach for new research.

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Author information

Authors and Affiliations

  1. University School of Information Communication and Technology, Guru Gobind Singh Indraprastha University, Sector 16C, Dwarka, Delhi, India

    Lalit Kumar Narayan & Virendra Prasad Vishwakarma

  2. Guru Gobind Singh Indraprastha University, Sector 16C, Dwarka, Delhi, India

    Lalit Kumar Narayan, Lalit Kumar Narayan & Virendra Prasad Vishwakarma

Authors
  1. Lalit Kumar Narayan
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  2. Virendra Prasad Vishwakarma
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Corresponding author

Correspondence to Lalit Kumar Narayan .

Editor information

Editors and Affiliations

  1. Department Of Creative Technologies and Product Design, National Taipei University of Business, Taoyuan, Taiwan

    Sheng-Lung Peng

  2. School of Computer Science, SCS, Taylor's University, Subang Jaya, Malaysia

    Noor Zaman Jhanjhi

  3. Department of Computer Science and Engineering, Sister Nivedita University, Kolkata, West Bengal, India

    Souvik Pal

  4. College of Engineering and Computer Science, Joshi Research Center 489, Wright State University, Dayton, OH, USA

    Fathi Amsaad

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Narayan, L.K., Vishwakarma, V.P. (2023). A Study on Different Fuzzy Image Enhancement Techniques. In: Peng, SL., Jhanjhi, N.Z., Pal, S., Amsaad, F. (eds) Proceedings of 3rd International Conference on Mathematical Modeling and Computational Science. ICMMCS 2023. Advances in Intelligent Systems and Computing, vol 1450. Springer, Singapore. https://doi.org/10.1007/978-981-99-3611-3_11

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