Development 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

11Citations
Citations of this article
22Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

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.

Cite

CITATION STYLE

APA

Romero-Tarazona, B. E., Rodriguez-Sandoval, C. L., Villabonai-Ascanio, J. G., & Rincón-Quintero, A. D. (2020). Development 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. In IOP Conference Series: Materials Science and Engineering (Vol. 844). Institute of Physics Publishing. https://doi.org/10.1088/1757-899X/844/1/012058

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free