Computer Analysis of Chest X-Ray Images to Highlight Pathological Objects
New methods of analysis and processing the digital images create unique possibilities and prospects in modern medicine because the results of many medical examinations are in the form of images. The paper presents research aimed at creating methods supporting the diagnostic process related to lung diseases diagnosed with X-ray images, such as tuberculosis and pneumoconiosis. Due to the specificity of X-ray images, i.e. the occurrence of distortions in the image, possible poor quality of these photographs, these studies have their solid grounds. An original method was proposed, thanks to which it is possible to obtain an X-ray image with better diagnostic properties. Such results were obtained because the resultive image was transformed using methods such as filtration, original solution for histogram alignment as well as point transformations of the image, and determination of object boundaries.
KeywordsX-ray Histogram Segmentation Object boundaries Lungs Tuberculosis
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