SciELO - Scientific Electronic Library Online

 
vol.19 issue1Environmental excellence district program assessment according to the strategy self-management promotion of the sustainable production for capital district policyDynamic modeling of the CO 2 emissions behavior by fossil fuel combustion during the land sequence preparation and pre-harvest activities in a sugar cane crop author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


Ingeniería y competitividad

Print version ISSN 0123-3033

Abstract

OSPINA, Rafael E.; CARDONA, Sergio D.  and  BACCA-CORTES, Bladimir. Software tool for thermographic inspection using multimodal fusing of thermal and visible images. Ing. compet. [online]. 2017, vol.19, n.1, pp.53-68. ISSN 0123-3033.

Monocular cameras are commonly used in communication devices, entertainment, and industrial environments since they allow people to recognize rapidly scenes and objects. On the other hand, thermal cameras are mostly known in industrial environments to visualize the objects’ thermic radiance but they lose their visual details. This work presents the design and implementation of a thermography inspection tool - INVIfusion - to fuse infrared and visual spectrum images. This tool includes three modules: image acquisition and calibration module, multimodal image fusion module, and report generation module. The main contribution of this work compared with other software inspection tools is INVIfusion supports cameras from different manufacturers (infrared and visible spectrum), having different field of view and spatial resolutions. To validate the suggested system’s functionality and accuracy, quantitative and qualitative tests were performed considering different camera configurations. In all cases the thermal camera was a FLIR E320. Quantitative tests were performed measuring the mean symmetric re-projection error obtaining a maximum error of 2.08 ± 1.8 pixels.

Keywords : Multimodal image fusion; software inspection tool; thermography.

        · abstract in Spanish     · text in English     · English ( pdf )