Enhancement of Brain MR-T1/T2 Images Using Mathematical Morphology

Brain tumor is a life-threatening disease with a fast growth rate, which makes its detection a critical task. However, low contrast and high noise content in brain MR images hamper the screening of tumor. Enhancement is therefore done to improve the perceivable features of these images. This paper presents an improved enhancement technique of brain MR-T1/T2 images by employing morphological filters. In this method, a disk-shaped flat structuring element along with top-hat and bottom-hat morphological operators is used. The performance of the filter is validated by incrementing values of contrast improvement index (CII) and peak signal-to-noise ratio (PSNR) parameters indicating a successful enhancement without noise amplification.

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