Analysis of macroscopic characteristics and Microscopic by Digital Image Processing in MATLAB

Digital image processing is a widely developed discipline implemented in the daily life of society, taking particular importance in computer vision systems in industrial production lines, as well as in the classification of biomedical images or the analysis of cultures using aerial and satellite images. The use of these types of technologies has led to a considerable increase in the tools available to professionals from different sectors. This project aims to provide a helpful tool for professionals and especially for students with practices focused on the macroscopic and microscopic analysis of the components found in urine samples. This is done, justifying the existing problem, where the majority of students doubt their macroscopic and microscopic analyses caused by the noise of the images obtained in practice and those compared in theory. For this, a program has been carried out in the MATLAB software that allows entering the image to be analyzed, using filters, the entered image will be provided with new features that allow you to more quickly and accurately identify data such as the colorimetry of the sample and the morphology of the sediment particles characteristic of the urine.