Presentación y desarrollo de alternativa de medición de desplazamientos en ensayos de laboratorio empleando técnicas de procesamiento de imágenes para la Facultad de Ingeniería.

Abstract

This document is the product of an investigation carried out bibliographically and in the field of experimentation, whose motivating objective for the realization of this project is to present, develop and implement a practical methodology to carry out displacement measurements from the processing of images taken from tests of laboratory, so that the Faculty of Engineering has a new and versatile tool to optimize the teaching conditions and improve the behavior of materials and capacity of the elements. For the development of the project, the use of the interpreting programming language Python has been used through its Editor Spyder program, which is the one with which it is best developed, as well as the use of the large OpenCv library that works optimally with Python. The analysis and measurement of the displacements will be done with images taken from videos taken from experimental tests of structures built on purpose for the execution of the project. Obviously, the advantage of being open source programs has been taken into account, both for Python as well as for editors and libraries, the technical applications for the analysis of images and their colors have been specifically considered, also considering gray scales. and their matrix and vector arrangement with their resolution in pixels, size and color combination.