Exploring the Opencv Library for Image Processing in Long-Pulse Thermography

Author(s)

Rabelo Faria, Jose Jeronimo ^[1] ; de Faria, Alfredo Rocha ^[1]

Affiliation

^[1] Inst Tecnol Aeronaut, Dept Engn Mecan, Praca Marechal Eduardo Gomes 50, BR-12228900 Sao Jose Dos Campos, SP - Brazil

• Document type: Journal article
• Source: MATERIALS RESEARCH-IBERO-AMERICAN JOURNAL OF MATERIALS; v. 24, n. 2 2021.
• Web of Science Citations: 0

Abstract

The objective of the present paper is to propose a framework, utilizing the OpenCV library, for post-processing infrared images obtained using Long-Pulse Thermography (LPT), with the goal of segmenting the images into defective and sound areas. A series of thermograms of a carbon fiber/epoxy specimen, containing precision milled flat-bottom holes, was acquired using an LPT system comprised of an uncooled microbolometer imager and halogen optical sources. Flaw detectability and planar size estimation were used to evaluate the results obtained with the proposed post-processing framework, in comparison to raw images, and images subjected only to pre-processing algorithms. (AU)

• FAPESP's process: 19/00917-8 - Failure induced by instability in structural composites under longitudinal compression
• Grantee: Alfredo Rocha de Faria
• Support Opportunities: Regular Research Grants
• FAPESP's process: 18/26122-9 - Internal defect analysis in composite materials by active thermography
• Grantee: Eduardo Torres Novais
• Support Opportunities: Research Grants - Innovative Research in Small Business - PIPE