Presentation + Paper
12 April 2021 Automatic mask creation of thermographic gait images using CVIPtools ATAT
Charles B. Stacey Jr., Scott E. Umbaugh, Dominic J. Marino, Joseph Sackman
Author Affiliations +
Abstract
Thermographic imaging has been shown an efficacious method for analysis of gait abnormality in canines. A total of 168 images were used from multiple views of canine’s legs. An algorithm was developed for the automatic mask creation of these thermographic canine leg images to locate important gait related areas. The algorithm is compared with other segmentation and enhancement combinations using the CVIPtools Algorithm Testing and Analysis Tool (ATAT). The ATAT software was able to identify an algorithm with an average 88.4% success rate using the Dice coefficient and Jaccard Index as the main error measurements.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Charles B. Stacey Jr., Scott E. Umbaugh, Dominic J. Marino, and Joseph Sackman "Automatic mask creation of thermographic gait images using CVIPtools ATAT", Proc. SPIE 11743, Thermosense: Thermal Infrared Applications XLIII, 1174305 (12 April 2021); https://doi.org/10.1117/12.2585646
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KEYWORDS
Gait analysis

Algorithm development

Image segmentation

Analytical research

Computer vision technology

Image processing

Machine vision

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