Resumen

The Parhyale hawaiensis is a useful model to understand the characteristic events of tissue regeneration and also has great experimental advantages, since with a confocal microscopy equipment and the help of programs for the analysis of images it is possible to quantify cell growth and the appearance of new cells. However, this process is highly routine, inefficient in terms of time and resources, since the processing of images must be done manually in some relevant software for image analysis. Therefore, new methods of image processing are required to automate these processes or make them more efficient, in order to improve research, allowing impartial, reliable and reproducible results. The first step for the development and identification of cells is to eliminate the noise, without affecting its edges, because the signal produced is very weak and the images present a large amount of Poisson noise. This step is necessary in the development of a technique for monitoring cells in microscopy images, required to advance research and knowledge of the mechanisms of regeneration in animals. Due to their great importance, a significant number of non-linear filters have been developed, some of which have not been sufficiently explored for use in microscopy. This research focuses on filters based on anisotropic and ROF. In addition, a comparative analysis of the anisotropic diffusion and ROF filters with the median, average, guided, propagated and propagated filters are presented to determine which of this have the best results in microscopy and synthetic images, developed to determine the quality of the filters.