SARS-Cov-2: A proposal of algorithm for the overlapping of high-resolution microscopic images

The COVID-19 disease produced by the novel SARS-Cov-2 coronavirus has become a global pandemic that has affected, in one way or another, the socio-economic life of all humans. In order to analyze the morphology structure of it, the SARS-CoV-2 coronavirus samples are observed under the electron microscopic; and in [3,4], we proposed some algorithms to enhance the S-spikes in those microscopic images. In this work, we propose a new algorithm in order to overlap the obtained results of processing to original images, and we compared our algorithm with those proposed in MatLab.