Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/144497
Title: Study on methods to extract high contrast image in active dynamic thermography
Authors: Saxena, Ashish
Raman, Vignesh
Ng, Eddie Yin Kwee
Keywords: Engineering::Mechanical engineering
Issue Date: 2019
Source: Saxena, A., Raman, V., & Ng, E. Y. K. (2019). Study on methods to extract high contrast image in active dynamic thermography. Quantitative InfraRed Thermography Journal, 16(3-4), 243-259. doi:10.1080/17686733.2019.1586376
Journal: Quantitative InfraRed Thermography Journal
Abstract: In the present study, image reconstruction methods are applied in active dynamic thermography (ADT) to visualize the superficial blood vessel with high contrast. ADT is performed on the left forearm of a human subject by applying cooling based external thermal stimulation. Both non-parametrized, viz. sequence image, sequentially subtracted image, Discrete Fourier Transformation (phase and amplitude image), and Thermographic Signal Reconstruction (TSR), and parametrized, viz. Tau time (τ), dTnorm, t90−10n, and Tissue Activity Ratio (TAR), types of image reconstruction methods are used. To perform a quantitative comparison, among the image reconstruction methods, the image contrast value is evaluated. While sequentially subtracted image provides a high contrast image in non-parametrized image reconstruction methods, for parametrized image reconstruction methods, it is TAR. Among all the methods considered, TAR provides the best contrast image followed by τ image method.
URI: https://hdl.handle.net/10356/144497
ISSN: 1768-6733
DOI: 10.1080/17686733.2019.1586376
Schools: School of Mechanical and Aerospace Engineering 
Rights: This is an Accepted Manuscript of an article published by Taylor & Francis in Quantitative InfraRed Thermography Journal on 19 Mar 2019, available online: http://www.tandfonline.com/10.1080/17686733.2019.1586376.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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