Publication: A Skin Segmentation Method for touchless image viewer in the operating room by 2D camera
1
0
Issued Date
2023
Resource Type
File Type
application/pdf
Rights Holder(s)
มหาวิทยาลัยศรีนครินทรวิโรฒ
Bibliographic Citation
2023 3rd International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics, ICA-SYMP 2023. Vol , No. (2023), p.29-32
Suggested Citation
Rungpanich P., Pattanaworapan P., Kiatsoontorn K., Charoenpong T. A Skin Segmentation Method for touchless image viewer in the operating room by 2D camera. 2023 3rd International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics, ICA-SYMP 2023. Vol , No. (2023), p.29-32. doi:10.1109/ICA-SYMP56348.2023.10044930 Retrieved from: https://hdl.handle.net/20.500.14740/11259
Other Contributor(s)
Abstract
Contamination in operating room lead to infection in a patient specially during surgery. A touchless technology can be used to reduce contamination in the operating room when surgeon uses an X-ray image viewer. Skin segmentation is an important processing for touchless image viewer in an operating room. In this paper, we proposed a skin color segmentation method using threshold in color space. This method consists of three steps: 1) frame extraction, 2) color space conversion, 3) skin color segmentation. To test the performance of the proposed method, 601 images are used in the experiment. Accuracy rate is 50.46%. This is satisfactory for applying implementation algorithm for hand detection in future. © 2023 IEEE.