Development and Analysis of Dermal Wound Image Processing Techniques Using Chan-Vese and Edge Active Contour Methods
Public Deposited- Last Modified
- March 21, 2019
- Creator
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Mueller, Peter
- Affiliation: School of Medicine, UNC/NCSU Joint Department of Biomedical Engineering
- Abstract
- Present methods for evaluation of burn wounds rely heavily on qualitative and Total Body Surface Area (TBSA) estimations. Herein, a digital method for calculating the surface area of burn wounds is proposed as a useful tool for monitoring and measuring changes in burns. This study tested two segmentation methods: a statistical analysis technique, and an active contours technique using edges and Chan-Vese. All methods were tested on images of burns taken from a DSLR camera, and Microsoft Kinect V2 and compared to digitally drawn traces of the wounds. Using Dice’s Coefficient as a measure for agreement between masks, the DSLR images resulted in agreeable segmentations (D=0.939 for edge, D=0.9362 for Chan-Vese), while images taken with the Kinect did not meet the threshold for agreeability (D=0.815 for edge, D=0.819 for Chan-Vese). This testing shows the active contours method is the plausible method for characterizing high-resolution color burn wounds.
- Date of publication
- May 2017
- Keyword
- DOI
- Resource type
- Rights statement
- In Copyright
- Advisor
- Hubbard, Devin
- Gomez, Shawn
- Walker, Dwight
- Pinton, Gianmarco
- Degree
- Master of Science
- Degree granting institution
- University of North Carolina at Chapel Hill Graduate School
- Graduation year
- 2017
- Language
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This work has no parents.
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