Fuzzy Inference System in a Local Eigenvector Based Color Image Smoothing Framework

  1. Almutairi, Khleef 12
  2. Morillas, Samuel 1
  3. Latorre-Carmona, Pedro 3
  1. 1 Universidad Politécnica de Valencia
    info

    Universidad Politécnica de Valencia

    Valencia, España

    ROR https://ror.org/01460j859

  2. 2 Mathematics Department, Faculty of Science, Albaha University, Suadi Arabia, --- Select a Country ---
  3. 3 Universidad de Burgos
    info

    Universidad de Burgos

    Burgos, España

    ROR https://ror.org/049da5t36

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Actes de conférence:
Proceedings of the 3rd International Conference on Image Processing and Vision Engineering

ISBN: 978-989-758-642-2

Année de publication: 2023

Pages: 142-149

Type: Communication dans un congrès

DOI: 10.5220/0011966900003497 GOOGLE SCHOLAR lock_openAccès ouvert editor

Résumé

Noise filtering in colour images is a complex task since it is essential to distinguish between structural and noise information in the image. It would therefore be important to simultaneously remove noise while keeping the original image details. This paper proposes a method based on a fuzzy inference system to eliminate noise and retrieve original image details. Images are transformed from an RGB space to an eigenvector based space and this transformation is fed to the fuzzy system. Results confirm the validity of the approach, its superior performance when compared to the eigenvector based framework it is based on, and its competitive behaviour when compared to other state-of-the-art methods.