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Assessing diabetic foot injury based on 3D image technology

Authors :
Yu Xiaowei
Qiao Ji
Li Jun
Jiang Li
Jiang Peng
Jiang Fusong
Source :
ICSAI
Publication Year :
2019
Publisher :
IEEE, 2019.

Abstract

Due to the lack of stereoscopic image retrospective methods, the traditional measurement of ulcer area and depth is inconvenient and imprecise. There are some deficiencies in the current assessment of diabetic foot injury. Therefore, a method based on image recognition technology to obtain quantitative data to assess the severity of injury is proposed. Firstly, a three- dimensional (3D) reconstruction system is invented, which collects data driven by a mechanical drive system through a depth camera with infrared light source; secondly, the 3D reconstruction algorithm based on incremental iteration is used to reconstruct the set model. Then, the texture generation algorithm is used to optimize the model; finally, a foot model is printed by 3D printing technology, and the validity of the system is verified by comparing the original model data with the reconstructed model data. The accuracy of the 3D image system is higher than that of the two-dimensional (2D) photos.

Details

Database :
OpenAIRE
Journal :
2019 6th International Conference on Systems and Informatics (ICSAI)
Accession number :
edsair.doi...........019c297db41c979a4ac80adbcd32b191