An Approach with Effective Guided Filter and Lipschitz Constraint Based CLAHE for Improving X-Ray Image Details

This paper presents an approach to improve X-Ray image details. The image with increased contrast, edge enhancement and gradient change stability with this approach is used as input image in CLAHE algorithm. The proposed approach shows that X-Ray image details are significantly improved by enhancing contrast and edge enhancement. Experimental results confirm the effectiveness of the proposed approach.

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Publication Details

Published
2025-05-23
DOI
https://doi.org/10.1109/ichora65333.2025.11017217
Primary Topic
Image Retrieval and Classification Techniques
Type
article
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article

An Approach with Effective Guided Filter and Lipschitz Constraint Based CLAHE for Improving X-Ray Image Details

Mehmet Dikmen, Emre Kağan Aytekin
Image Retrieval and Classification Techniques
article

An Approach with Effective Guided Filter and Lipschitz Constraint Based CLAHE for Improving X-Ray Image Details

Mehmet Dikmen, Emre Kağan Aytekin
article en

Abstract

This paper presents an approach to improve X-Ray image details. The image with increased contrast, edge enhancement and gradient change stability with this approach is used as input image in CLAHE algorithm. The proposed approach shows that X-Ray image details are significantly improved by enhancing contrast and edge enhancement. Experimental results confirm the effectiveness of the proposed approach.

Istanbul Bilim University (TR), Istanbul Kent University (TR)
Openalex Percentile: Top 89%
Image Retrieval and Classification Techniques
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