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.