Title :
Body surface area measurement with structured light
Author :
Jun, Heesung ; DeCosta, Paul ; Dunn, Stanley M.
Author_Institution :
Rutgers Univ., Piscataway, NJ, USA
Abstract :
The image processing steps and algorithms used to recover the range data from a single camera image are outlined. Curve and surface representation and area computation methods are described. Calculating the area is done in five steps: camera and projector calibration; image capture and processing; reconstruction of the 3-D points by triangulation; segmentation of the area; and calculating the area. After combining the reconstructed 3-D locations and the segmented image, cubic splines are used to represent the surface area. Gaussian quadrature double integration is used to compute the area. Experimental results are included to show that the method is reliable and accurate. This system can be used as a reliable and accurate method to measure burn area
Keywords :
area measurement; biomedical measurement; 3D points reconstruction; Gaussian quadrature double integration; algorithms; area segmentation; body surface area measurement; burn area; cubic splines; image capture; image processing steps; projector calibration; range data recovery; single camera image; structured light; Area measurement; Biomedical engineering; Calibration; Cameras; Humans; Image processing; Image reconstruction; Image segmentation; Labeling; Surface reconstruction;
Conference_Titel :
Bioengineering Conference, 1991., Proceedings of the 1991 IEEE Seventeenth Annual Northeast
Conference_Location :
Hartford, CT
Print_ISBN :
0-7803-0030-0
DOI :
10.1109/NEBC.1991.154596
