Medical image enhancement plays a crucial role in improving the visibility of anatomical structures and facilitating reliable visual interpretation of medical images. However, X-ray images may contain noise, inadequate contrast, and poorly distinguishable structural information, which can limit their interpretation acc...
An image-processing-based technique for identifying and segmenting lesion regions in dental X-ray images is described in this research. The low contrast of these images and the similarity in intensity between lesion sites and surrounding tissues continue to make accurate detection difficult. Image enhancement approache...
An adaptive cluster-wise progressive denoising algorithm for maintaining detail in medical images that outperforms existing denoising methods in terms of noise suppression while conserving critical anatomical characteristics.
The improvement techniques for X-ray images based on the spatial domain include gamma modification, balance enhancement of contrast, image invert/compliment, super-resolution, contrasting-limited adaptive histogram equalization, and improvement with spatial filtering.
Panoramic dental X-rays are the most common imaging source for oral conditions; however, their reading is often delayed by artefacts, and poor contrast. A precise segmentation of dental structures represents the core for clinical diagnosis and treatment planning; yet, current solutions frequently fail to generalize and...
Background and objective: Mammography is a common imaging method, utilizing low-dose X-rays to detect calcifications and other tissue abnormalities. The aim of this study was to determine the most effective techniques for enhancing mammogram images to ensure accurate and reliable breast cancer detection. Methods: Mamm...
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