| 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.identifier.uri |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149687667&doi=10.1109%2fICA-SYMP56348.2023.10044930&partnerID=40&md5=cbd7e0f5809567a4f6423e287ecee728 |
|
| dc.identifier.uri |
https://ir.swu.ac.th/jspui/handle/123456789/29522 |
|
| 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.publisher |
Institute of Electrical and Electronics Engineers Inc. |
|
| dc.subject |
contamination |
|
| dc.subject |
hand movement |
|
| dc.subject |
operating room |
|
| dc.subject |
skin color segmentation |
|
| dc.subject |
surgeon |
|
| dc.title |
A Skin Segmentation Method for touchless image viewer in the operating room by 2D camera |
|
| dc.type |
Conference paper |
|
| dc.rights.holder |
Scopus |
|
| dc.identifier.bibliograpycitation |
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 |
|