A Medical Image Enhancement Algorithm Based on Fuzzy Set Theory and Its GUI Implementation

In this paper, a medical image enhancement algorithm based on fuzzy set theory is proposed. The algorithm takes the Pal-King fuzzy enhancement algorithm as the basis, and using one kind of sinusoidal function as the improved membership function to solve the problem of low gray information loss. This membership function has the adjustable parameter k, which can change the shape of the function according to the processing needs. The algorithm has been simulated in the MATLAB environment, and the graphical user interface is designed for it. Experiments show that the algorithm can effectively enhance the brightness and contrast of the medical image, highlight the edge and details of the image, and has a certain application value and significance.