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Salud, Ciencia y Tecnología Metaverse Basic and Applied Research Data & Metadata Interdisciplinary Rehabilitation Salud, Ciencia y Tecnología - Serie de Conferencias Community and Interculturality in Dialogue Seminars in Medical Writing and Education Health Leadership and Quality of Life Gamification and Augmented Reality Southern perspective / Perspectiva austral
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Published: 2023-12-30
DOI: https://doi.org/10.56294/dm2023170

Gray Level Homogeneity Analysis: A Novel Approach

By
Abdelhamid El Beghdadi ,
Abdelhamid El Beghdadi

Mohammed I University, Oujda, Morocco

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Mohammed Merzougui ,
Mohammed Merzougui

Mohammed I University, Oujda, Morocco

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Ahmad El Allaoui ,
Ahmad El Allaoui

FST Errachidia, Moulay Ismail University, Meknes, Morocco

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Abstract

In this article, we propose a method that helps us to analyze the homogeneity of gray levels locally by calculating a coefficient for each pixel based on the nature of neighboring pixels. This principle of encoding pixels according to their adjacent neighbors is described the nature of the distribution of gray levels within the image and measures their degree of homogeneity locally. This allows us to detect the different regions of the image and their contours based on the coefficient of homogeneity of the gray levels. In addition, this allows us to exploit these homogeneity coefficients to restructure regions of the image, extract and enhance the image contours while reducing the noise present in the image. This homogeneity study principle has several functions in the study and analysis of image texture, as do other methods of homogeneity assessment, such as the local contrast descriptor (LCD) and the co-occurrence matrix.

Keywords:

CLH Matrix,
Co-occurrence Matrix,
Sobel,
LCD,
Denoising,
Texture,
Segmentation,
Histogram,

How to Cite

1.
El Beghdadi A, Merzougui M, El Allaoui A. Gray Level Homogeneity Analysis: A Novel Approach. Data and Metadata [Internet]. 2023 Dec. 30 [cited 2024 Jul. 3];2:170. Available from: https://dm.saludcyt.ar/index.php/dm/article/view/170

Copyright Notice

The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.

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Vol. 2 (2023)
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