Publication: A Skin Segmentation Method for touchless image viewer in the operating room by 2D camera
| dc.contributor.author | Rungpanich P. | |
| dc.contributor.author | Pattanaworapan P. | |
| dc.contributor.author | Kiatsoontorn K. | |
| dc.contributor.author | Charoenpong T. | |
| dc.contributor.other | Srinakharinwirot University | |
| dc.date.accessioned | 2023-11-15T02:08:53Z | |
| dc.date.available | 2023-11-15T02:08:53Z | |
| dc.date.issued | 2023 | |
| dc.date.issuedBE | 2566 | |
| dc.description.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. | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | 2023 3rd International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics, ICA-SYMP 2023. Vol , No. (2023), p.29-32 | |
| dc.identifier.doi | 10.1109/ICA-SYMP56348.2023.10044930 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14740/11259 | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.rights.holder | มหาวิทยาลัยศรีนครินทรวิโรฒ | |
| dc.subject.other | Contamination | |
| dc.subject.other | Hand movement | |
| dc.subject.other | Operating room | |
| dc.subject.other | Skin color segmentation | |
| dc.subject.other | Surgeon | |
| dc.title | A Skin Segmentation Method for touchless image viewer in the operating room by 2D camera | |
| dc.type | Conference Paper | |
| dspace.entity.type | Publication | |
| swu.datasource.scopus | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149687667&doi=10.1109%2fICA-SYMP56348.2023.10044930&partnerID=40&md5=cbd7e0f5809567a4f6423e287ecee728 |