On Contrast Enhancement Techniques for Medical Images with Edge Detection: A Comparative Analysis release_gkv6caau5rhwvdcu5jmirtazu4

by Randeep Kaur, Meenu Chawla, Navdeep Khiva, Mohd Ansari


The main role of contrast enhancement is increasing the quality of any image. This technique plays fundamental role in medical images. Edge detection is also playing an instrumental role in medical imaging because all information has preserved in edges. Digital image includes a pixel which has fixed number of rows and columns. People can see the internal structure of the body through digital image. Five images have taken as an example in this paper, namely hand, brain, head, ankle and knee. Three enhancement techniques have used, namely Fuzzy Type-II, INT Operator and Fuzzy Type-I. These different three techniques have applied on different images which are used in this paper. Three parameters have used to compare three contrast enhancement techniques. Peak signal to noise ratio (PSNR), root mean square error (RMSE) and mean square error (MSE) quality parameters have been used. The result has produced after comparison of three approaches on five images. In the end, Fuzzy Type-I technique produces the better resultant image.
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