Assistance of pneumoconiosis diagnostics process with x-ray image coloring using Matlab application

Abstract

X-ray image is a picture of specific body part produced in tones of gray. Human chest area is a place where highest number of x-ray diagnosed afflictions occur. Adjusting selected ranges of gray tones by means of colour saturation results in obtaining a picture revealing afflictions, which might have been overlooked at early stages of development or their development is already more advanced that had been expected. There are objects easily discerned on a modified x-ray image such as calcifications, fibroses and present lung volume. Analysing images with pneumoconiosis may cause problems as this affliction at an early stage does not look very different than a normal, healthy state. By undergoing the process of colour saturation a monochromatic x-ray image gains more details and increased contrast between specified lung parts.