Enhancement of Chest X-ray Images for Diagnosis Purposes
Salim J. Attia · Journals & Books Hosting (International Knowledge Sharing Platform) · 2016
This study presents image quality comparison between original images and three image enhancement techniques namely imadjust, histogram equalization (HE) and contrast limited adaptive histogram equalization (CLAHE).These techniques are applied to a collection of eight chest x-ray images which are considered as dark, noisy and low in contrast and radiation dosage.The lacks of quality can be solved with these enhancement image techniques.These techniques raised the quality of images and improve the diagnostic ability of the pathological features observed in the images.Then the quality image factors including peak signal-to-noise ratio (PSNR), Mean squared error (MSE), (MAXERR) and (L2rat) were used to evaluate the characteristic of the images.The findings showed that the enhancement techniques managed to enhance the images make them more qualified than original images.