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Talk · International Conference on Applied Artificial Intelligence and Computing · June 5, 2024

X-ray Image Contrast Enhancement Approach

Narzillo Mamatov, Keulimjay Erejepov, Malika Jalelova, Inomjon Narzullayev, Abdurashid Samijonov

Narzillo Mamatov
Read on dx.doi.orgDOI 10.1109/icaaic60222.2024.10575386

Abstract

Contrast enhancement algorithms are important in improving the quality of X-ray images, helping medical professionals to diagnose and treat patients more accurately. Most of the contrast enhancement algorithms available today are applied to the entire image without taking into account local features and differences in contrast in different areas of the image. This can lead to undesirable consequences such as loss of detail in the dark areas of the image or saturation in the bright areas. In this regard, in this work, a contrast enhancement approach is proposed, which provides contrast enhancement in each fragment of the image, taking into account the local features of the X-ray image. This approach is based on dividing the image into small fragments and applying different contrast enhancement algorithms to each fragment. Each fragment was evaluated according to the RMS criterion, and the algorithm that gave the largest value was selected as the optimal one for this fragment. In addition, the research paper analyzed the effectiveness of the approach developed based on the test results of X-ray images.

Image Enhancement TechniquesMedical Image Segmentation TechniquesDental Radiography and ImagingX-ray image enhancementcontrast enhancementlocal contrast

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