Indentification proposal about reticulated patterns in computerized axial tomographys of human lung with relation to environs

Abstract

With the inclusion of digital technology in medical procedures and especially in the diagnosis of medical images, it is necessary to automate the process of identification of clinical conditions in a timely manner, thus contributing to the implementation of the concept of telemedicine. For this reason, the techniques of digital image processing are an alternative to provide diagnostic medical concepts suggest solutions without detracting from the appreciation of the specialist. This article focuses its study on the implementation of two techniques of digital image processing: identifying edges and contours (concept of the first and second derivative) and identification of patterns by contrast adjustments, thus aims to identify which is the more appropriate to characterize a typical lattice pattern, aspect pneumonia disease afflicting the human lung.