A combined approach of self-referencing and Principle Component Thermography for transient, steady, and selective heating scenarios

M. A. Omar, R. Parvataneni, Y. Zhou

    Research output: Contribution to journalArticlepeer-review

    29 Scopus citations

    Abstract

    Proposed manuscript describes the implementation of a two step processing procedure, composed of the self-referencing and the Principle Component Thermography (PCT). The combined approach enables the processing of thermograms from transient (flash), steady (halogen) and selective (induction) thermal perturbations. Firstly, the research discusses the three basic processing schemes typically applied for thermography; namely mathematical transformation based processing, curve-fitting processing, and direct contrast based calculations. Proposed algorithm utilizes the self-referencing scheme to create a sub-sequence that contains the maximum contrast information and also compute the anomalies' depth values. While, the Principle Component Thermography operates on the sub-sequence frames by re-arranging its data content (pixel values) spatially and temporally then it highlights the data variance. The PCT is mainly used as a mathematical mean to enhance the defects' contrast thus enabling its shape and size retrieval. The results show that the proposed combined scheme is effective in processing multiple size defects in sandwich steel structure in real-time (<30 Hz) and with full spatial coverage, without the need for a priori defect-free area.

    Original languageBritish English
    Pages (from-to)358-362
    Number of pages5
    JournalInfrared Physics and Technology
    Volume53
    Issue number5
    DOIs
    StatePublished - Sep 2010

    Keywords

    • Covariance matrix
    • Image processing
    • Orthogonal functions
    • Principle component
    • Self-referencing
    • Thermography

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