Please use this identifier to cite or link to this item:
https://ir.swu.ac.th/jspui/handle/123456789/29522| Title: | A Skin Segmentation Method for touchless image viewer in the operating room by 2D camera |
| Authors: | Rungpanich P. Pattanaworapan P. Kiatsoontorn K. Charoenpong T. |
| Keywords: | contamination hand movement operating room skin color segmentation surgeon |
| Issue Date: | 2023 |
| Publisher: | Institute of Electrical and Electronics Engineers Inc. |
| 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. |
| URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149687667&doi=10.1109%2fICA-SYMP56348.2023.10044930&partnerID=40&md5=cbd7e0f5809567a4f6423e287ecee728 https://ir.swu.ac.th/jspui/handle/123456789/29522 |
| Appears in Collections: | Scopus 2023 |
Files in This Item:
There are no files associated with this item.
Items in SWU repository are protected by copyright, with all rights reserved, unless otherwise indicated.