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Sensors and Image Processing pp 93–101Cite as

Analysis of Leukoderma Images Using Neuro-Fuzzy Hybrid Technique

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 651))

Abstract

This paper presents a novel method to analyze Leukoderma images using Neuro-Fuzzy hybrid (NFH) approach. Skin diseases are the most widespread diseases in India and worldwide. In the proposed work, a hybrid Artificial Neural Fuzzy Inference System (ANFIS) is designed. The advantage of the proposed system is that there is not any connection between fuzzy and neural network. The training data is grouped into several clusters. Each cluster is designed to represent a particular rule. Error rate, output data, and trained data are calculated.

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Authors and Affiliations

  1. Department of Electrical Engineering, School of Engineering, Gautam Buddha University, Greater Noida, India, 201310

    Sudhakar Singh, Shabana Urooj & Satya P. Singh

Authors
  1. Sudhakar Singh
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  2. Shabana Urooj
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  3. Satya P. Singh
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Corresponding author

Correspondence to Sudhakar Singh .

Editor information

Editors and Affiliations

  1. Gautam Buddha University, Greater Noida, Uttar Pradesh, India

    Shabana Urooj

  2. Department of Electrical and Instrumentation Engineering, Thapar University, Patiala, Punjab, India

    Jitendra Virmani

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Singh, S., Urooj, S., Singh, S.P. (2018). Analysis of Leukoderma Images Using Neuro-Fuzzy Hybrid Technique. In: Urooj, S., Virmani, J. (eds) Sensors and Image Processing. Advances in Intelligent Systems and Computing, vol 651. Springer, Singapore. https://doi.org/10.1007/978-981-10-6614-6_10

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  • DOI: https://doi.org/10.1007/978-981-10-6614-6_10

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6613-9

  • Online ISBN: 978-981-10-6614-6

  • eBook Packages: EngineeringEngineering (R0)

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