Segmentation for the magnetic resonance images of Covid-19 patients using adaptive automatic Kernel-Based fuzzy clustering algorithm

This paper proposes the segment method for the Magnetic Resonance Images (MRI) of Covid-19 patients using the adaptive automatic Kernel-Based fuzzy clustering algorithm. This method not only finds the suitable number of clusters but also builds fuzzy clusters via the improvement from the Kernel-Based fuzzy clustering algorithm. Moreover, the algorithm uses the grayscale of the average filter in order to replace the local average ones. The outstanding advantages of this method are the adaptive ability of the average filter, increasing the intensity of image details, independence of separative groups, and decreasing computational costs. In addition, the experimental results also show the potential of the developed model. The algorithm is effectively performed by the established Matlab procedure. Keywords. Covid-19, Fuzzy clustering, Segmantation for MRI, Suitable number of cluster