The main focus of
medical image enhancement is to create an image which is more appropriate and
efficient than the original image for the particular application. Several
conventional and fuzzy based enhancement techniques have been proposed already
for medical imaging. However, these methods develop various disagreeable visual
issues such as level diffusion, uplifted noise level and over and under enhancement.
To overcome these issues, this paper presents an enhancement technique based on
normalisation, S function and radon transform. Initially, the input image is
normalised so that the gray level of input image lies between [0,255] and
fuzzified the normalised image by employing ramp function. Then S function is
used to create a modification in the fuzzified image and subsequently, radon
transform is carried out to avoid unwanted signal. Finally, the defuzzification
process is done to show the effectiveness of the enhanced image. A simulation
result demonstrates the effectiveness of the proposed technique.
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