Abstract
AbstractLung cancer is the fatal lung disease which involves uncontrolled growth of cells in tissue of lungs. Screening of the lung cancer can be carried out by CT-scan images. Enhancement of CT-scan images is necessary to deal with anomalous details and low-quality pixels. This paper therefore proposes an enhancement filter using unsharp masking (UM) approach with Grunwald–Letnikov (GL) fractional derivative mask for contrast and sharpness improvement of CT-scan images. This technique enhances the non-visible or partially visible regions. The quality of enhanced image has been evaluated using measure of enhancement (EME) as quality metric. The obtained results show significant enhancement than conventional UM without inciting noise.KeywordsUMGL maskCT-scan imagesEME
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