Matches in SemOpenAlex for { <https://semopenalex.org/work/W3094328275> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W3094328275 abstract "Automatic object recognition is the main key to the auto robot system. As like the eye in humans, object recognition is a system of identification on a computer. With this capability, object recognition can be developed to help facilitate human work from monotonous and repetitive work. In the field of medical, object recognition can be combined with an operating robot to free the nurse's duties from the work of sending and retrieving surgical instruments during the operation process. One of the simplest recognition methods is using the K-Nearest Neighbor (KNN) algorithm, by finding the closest distance between the object and the dataset. Opencv is added as an additional library that aims to facilitate the pre-processing of image. This paper implements the KNN algorithm to distinguish the surgical instrument with a relation test set to train set is 1:1. The pre-processing section has been done with Opencv which is used to separate interest objects with a background. The classifier parameters that used are aspect ratio, solidity, and contour ratio. A region of interest (ROI) is required to limit the object area to be processed. It helps to find the principal axis to rotate the image. The aim is to extract the important information as a new orthogonal variable called main components. The KNN method test results show the robustness of automatic intraoperative object detection that can be used to improve the specialist's preventive state acknowledgment amid the robot-helped medical procedure." @default.
- W3094328275 created "2020-10-29" @default.
- W3094328275 creator A5034478672 @default.
- W3094328275 creator A5045615548 @default.
- W3094328275 creator A5089048078 @default.
- W3094328275 date "2019-10-01" @default.
- W3094328275 modified "2023-09-23" @default.
- W3094328275 title "Object Detection of Surgical Instruments for Assistant Robot Surgeon using KNN" @default.
- W3094328275 cites W2017527868 @default.
- W3094328275 cites W2096335861 @default.
- W3094328275 cites W2136132422 @default.
- W3094328275 cites W2148845925 @default.
- W3094328275 cites W2316961598 @default.
- W3094328275 cites W2327109395 @default.
- W3094328275 cites W2772368443 @default.
- W3094328275 doi "https://doi.org/10.1109/icamimia47173.2019.9223375" @default.
- W3094328275 hasPublicationYear "2019" @default.
- W3094328275 type Work @default.
- W3094328275 sameAs 3094328275 @default.
- W3094328275 citedByCount "0" @default.
- W3094328275 crossrefType "proceedings-article" @default.
- W3094328275 hasAuthorship W3094328275A5034478672 @default.
- W3094328275 hasAuthorship W3094328275A5045615548 @default.
- W3094328275 hasAuthorship W3094328275A5089048078 @default.
- W3094328275 hasConcept C104317684 @default.
- W3094328275 hasConcept C115961682 @default.
- W3094328275 hasConcept C14551309 @default.
- W3094328275 hasConcept C153180895 @default.
- W3094328275 hasConcept C154945302 @default.
- W3094328275 hasConcept C182521987 @default.
- W3094328275 hasConcept C185592680 @default.
- W3094328275 hasConcept C19609008 @default.
- W3094328275 hasConcept C2776151529 @default.
- W3094328275 hasConcept C2781238097 @default.
- W3094328275 hasConcept C31510193 @default.
- W3094328275 hasConcept C31972630 @default.
- W3094328275 hasConcept C41008148 @default.
- W3094328275 hasConcept C4641261 @default.
- W3094328275 hasConcept C55493867 @default.
- W3094328275 hasConcept C63479239 @default.
- W3094328275 hasConcept C64876066 @default.
- W3094328275 hasConcept C90509273 @default.
- W3094328275 hasConcept C9417928 @default.
- W3094328275 hasConcept C95623464 @default.
- W3094328275 hasConceptScore W3094328275C104317684 @default.
- W3094328275 hasConceptScore W3094328275C115961682 @default.
- W3094328275 hasConceptScore W3094328275C14551309 @default.
- W3094328275 hasConceptScore W3094328275C153180895 @default.
- W3094328275 hasConceptScore W3094328275C154945302 @default.
- W3094328275 hasConceptScore W3094328275C182521987 @default.
- W3094328275 hasConceptScore W3094328275C185592680 @default.
- W3094328275 hasConceptScore W3094328275C19609008 @default.
- W3094328275 hasConceptScore W3094328275C2776151529 @default.
- W3094328275 hasConceptScore W3094328275C2781238097 @default.
- W3094328275 hasConceptScore W3094328275C31510193 @default.
- W3094328275 hasConceptScore W3094328275C31972630 @default.
- W3094328275 hasConceptScore W3094328275C41008148 @default.
- W3094328275 hasConceptScore W3094328275C4641261 @default.
- W3094328275 hasConceptScore W3094328275C55493867 @default.
- W3094328275 hasConceptScore W3094328275C63479239 @default.
- W3094328275 hasConceptScore W3094328275C64876066 @default.
- W3094328275 hasConceptScore W3094328275C90509273 @default.
- W3094328275 hasConceptScore W3094328275C9417928 @default.
- W3094328275 hasConceptScore W3094328275C95623464 @default.
- W3094328275 hasLocation W30943282751 @default.
- W3094328275 hasOpenAccess W3094328275 @default.
- W3094328275 hasPrimaryLocation W30943282751 @default.
- W3094328275 hasRelatedWork W11882198 @default.
- W3094328275 hasRelatedWork W13058890 @default.
- W3094328275 hasRelatedWork W13255732 @default.
- W3094328275 hasRelatedWork W14533781 @default.
- W3094328275 hasRelatedWork W221938 @default.
- W3094328275 hasRelatedWork W2356256 @default.
- W3094328275 hasRelatedWork W2380338 @default.
- W3094328275 hasRelatedWork W2803426 @default.
- W3094328275 hasRelatedWork W8031603 @default.
- W3094328275 hasRelatedWork W8147663 @default.
- W3094328275 isParatext "false" @default.
- W3094328275 isRetracted "false" @default.
- W3094328275 magId "3094328275" @default.
- W3094328275 workType "article" @default.