Body surface area measurement with structured light

Author

Jun, Heesung ; DeCosta, Paul ; Dunn, Stanley M.

Author_Institution

Rutgers Univ., Piscataway, NJ, USA

fYear

1991

fDate

4-5 Apr 1991

Firstpage

95

Lastpage

96

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioengineering Conference, 1991., Proceedings of the 1991 IEEE Seventeenth Annual Northeast

Conference_Location

Hartford, CT

Print_ISBN

0-7803-0030-0

Type

conf

DOI

10.1109/NEBC.1991.154596

Filename

154596