  The problem that we want to solve in this project of the subject of Data
Structures and Algorithms, is to decipher some images, which have in them
animals, being more specific, bovine animals; in which it is necessary to
identify if the animal is healthy, that is to say, if it is in good conditions
to be taken into account in the process of selection of the cattle, or if it is
sick, to know if it is discarded. All this by means of an algorithm of
compression, which allows to take the images and to take them to an examination
of these in the code, where not always the results are going to be one hundred
percent exact, but what allows this code to be efficient, is that it works with
machine learning, which means that the more information it takes, the more
precise the results are going to be without bringing with it general
affectations. The proposed algorithms are NN and bilinear interpolation, where
significant results were obtained on the execution speed. It is concluded that
a better job could have been done, but with what was delivered, it is believed
that it is a good result of the work.
