Abstract
Recently, image processing techniques are widely used in several
medical areas for image improvement in earlier detection and treatment stages,
where the time factor is very important to discover the abnormality issues in
target images, especially in various cancer tumours such as lung cancer, breast
cancer, etc. Image quality and accuracy is the core factors of this research,
image quality assessment as well as improvement are depending on the
enhancement stage where low pre-processing techniques is used based on Gabor
filter within Gaussian rules. Following the segmentation principles, an
enhanced region of the object of interest that is used as a basic foundation of
feature extraction is obtained. Relying on general features, a normality
comparison is made. In this research, the main detected features for accurate
images comparison are pixels percentage and mask-labelling.
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