Enhancement of X-ray images using various Image Processing Approaches

Abstract

X-ray imaging are frequently utilized to study inside objects of the human body. X-ray images have less contrast, noise, and brightness than normal images. As a result, improvement is required. Histogram Equalization, Contrast Enhancement, Edge Detection, Denoising, Deblurring, and other enhancement methods are among them. A new image enhancement technique for X-ray pictures is proposed here, which employs various image processing techniques. Contrast-stretching transformation, Gaussian filter, Logarithmic image processing, standard logic, Edge detection method, and other techniques are used in this method. The proposed technology detects edges and produces higher-quality images, allowing doctors, physicians, and patients to appropriately diagnose illnesses. Images with better brightness and contrast, for example, are produced using the proposed method. In addition, our proposed solution takes less time to compute.