Neutrosophic Approach to Grayscale Images Domain

Authors

  • A. A. Salama Department of Mathematics and Computer Science, Faculty of Science, Port Said University, Egypt
  • Florentin Smarandache Department of Mathematics, University of New Mexico,705 Gurley Avenue, Gallup, NM 87301, USA.
  • Hewayda ElGhawalby 3Department of Physics and Engineering Mathematics, Faculty of Engineering, Port Said University, Egypt.

Keywords:

Image analysis, Image Enhancement, Image processing, Neutrosophic Crisp Set, Gaussian Distribution, Logarithmic Transform, Neutrosophic Crisp Mathematical Morphology

Abstract

In this paper, we propose a new technique for the enhancing images. It will work on removing the noise contained in
the image as well as improving its contrast based on three different enhancing transforms, we commence by embedding the image into a neutrosophic domain; where the image will be mapped in three different levels, a level of trueness, a level of falseness and a level of indeterminacy. Hence, we act separately on each level using the enhancement transforms. Finally, we introduce a new analysis in the field of analysis and processing of images using the neutrosophic crisp set theory via Mat lab program where has been obtained three images, which helps in a new analysis to improve and retrieve images.

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Published

2018-09-04

Issue

Section

SI#1,2024: Neutrosophical Advancements And Their Impact on Research

How to Cite

A. A. Salama, Smarandache, F., & Hewayda ElGhawalby. (2018). Neutrosophic Approach to Grayscale Images Domain . Neutrosophic Sets and Systems, 21, 13-19. https://fs.unm.edu/nss8/index.php/111/article/view/297

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