Open AccessDevelopment of an artificial vision system that allows non-destructive testing on flat concrete slabs for surface crack detection by processing of digital images in MATLAB
Author(s) -
BE Romero-Tarazona,
CL Rodriguez-Sandoval,
JG Villabonai-Ascanio,
Arly Darío Rincón Quintero
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/844/1/012058
Subject(s) - algorism , matlab , slab , software , image processing , surface (topology) , computer science , digital image processing , structural engineering , digital image , computer vision , engineering drawing , engineering , image (mathematics) , geometry , mathematics , operating system , arithmetic , programming language
A computing tool based on an intelligent algorithm generates new alternatives for an early crack detection on flat concrete slab in a surface testing. First, a system able to autonomously detect a surface crack, by means of a digital image processing system has been developed. This system carries on an effective selection of data by an algorism bound to a specialized MATLAB software that can assess in full detail the surface conditions of a concrete slab, and finding out any affected spot.