TITLE:
Medical Image Enhancement Using Morphological Transformation
AUTHORS:
Raihan Firoz, Md. Shahjahan Ali, M. Nasir Uddin Khan, Md. Khalid Hossain, Md. Khairul Islam, Md. Shahinuzzaman
KEYWORDS:
Medical Image, Image Enhancement, Morphological Transform, Top-Hat Transform, Bottom-Hat Transform, MATLAB
JOURNAL NAME:
Journal of Data Analysis and Information Processing,
Vol.4 No.1,
February
2,
2016
ABSTRACT: Medical imaging includes different modalities and processes to visualize the interior of human
body for diagnostic and treatment purpose. However, one of the most common degradations in
medical images is their poor contrast quality and noise. The existence of several objects and the
close proximity of adjacent pixels values make the diagnostic process a daunting task. The idea of
image enhancement techniques is to improve the quality of an image. In this study, morphological
transform operation is carried out on medical images to enhance the contrast and quality. A disk
shaped mask is used in Top-Hat and Bottom-Hat transform and this mask plays a vital role in the
operation. Different types and sizes of medical images need different masks so that they can be
successfully enhanced. The method shown in this study takes a mask of an arbitrary size and
keeps changing its size until an optimum enhanced image is obtained from the transformation
operation. The enhancement is achieved via an iterative exfoliation process. The results indicate
that this method improves the contrast of medical images and can help with better diagnosis.