Open AccessError rate of automated calculation for wound surface area using a digital photography
Author(s) -
Yang S.,
Park J.,
Lee H.,
Lee J. B.,
Lee B. U.,
Oh B. H.
Publication year - 2018
Publication title -
skin research and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.521
H-Index - 69
eISSN - 1600-0846
pISSN - 0909-752X
DOI - 10.1111/srt.12398
Subject(s) - photography , digital camera , digital photography , computer science , biomedical engineering , lens (geology) , digital surface , computer vision , artificial intelligence , mathematics , optics , medicine , physics , art , visual arts , lidar
Abstract Background Although measuring would size using digital photography is a quick and simple method to evaluate the skin wound, the possible compatibility of it has not been fully validated. Purpose To investigate the error rate of our newly developed wound surface area calculation using digital photography. Methods Using a smartphone and a digital single lens reflex ( DSLR ) camera, four photographs of various sized wounds (diameter: 0.5‐3.5 cm) were taken from the facial skin model in company with color patches. The quantitative values of wound areas were automatically calculated. The relative error ( RE ) of this method with regard to wound sizes and types of camera was analyzed. Results RE of individual calculated area was from 0.0329% ( DSLR , diameter 1.0 cm) to 23.7166% (smartphone, diameter 2.0 cm). In spite of the correction of lens curvature, smartphone has significantly higher error rate than DSLR camera (3.9431±2.9772 vs 8.1303±4.8236). However, in cases of wound diameter below than 3 cm, RE s of average values of four photographs were below than 5%. In addition, there was no difference in the average value of wound area taken by smartphone and DSLR camera in those cases. Conclusion For the follow‐up of small skin defect (diameter: <3 cm), our newly developed automated wound area calculation method is able to be applied to the plenty of photographs, and the average values of them are a relatively useful index of wound healing with acceptable error rate.