Process of finding human knee in image based on multiple weighted thresholding and histograms of gradients
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00098892%3A_____%2F23%3A10158172" target="_blank" >RIV/00098892:_____/23:10158172 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27240/23:10254679
Result on the web
<a href="https://ieeexplore.ieee.org/document/10178913" target="_blank" >https://ieeexplore.ieee.org/document/10178913</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICCC57093.2023.10178913" target="_blank" >10.1109/ICCC57093.2023.10178913</a>
Alternative languages
Result language
angličtina
Original language name
Process of finding human knee in image based on multiple weighted thresholding and histograms of gradients
Original language description
Osteoarthritis is the most common joint disease, affecting about 12% of the population. It mainly affects the weight-bearing hip and knee joints but is also commonly found in other locations (spine, shoulder, elbow, and fingers). In Osteoarthritis, the articular cartilage is gradually destroyed, and its mechanical properties are altered, typically manifested externally by pain, frequent inflammation, and swelling. As part of the clinical needs of physicians, regular monitoring and recording of knee conditions are advisable during the follow-up and treatment of the disease. This paper proposes a process to obtain an image of the knee using a camera mounted on a sliding stand. To ensure the repeatability of the image acquisition, a software process is presented that allows finding the knee in the image. The found knee can be used in the unattended device to move the camera to an optimal position corresponding to the centre of the patient’s knee.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
30211 - Orthopaedics
Result continuities
Project
<a href="/en/project/NU20-06-00269" target="_blank" >NU20-06-00269: Utility of cellular profiles and proteomics of synovial fluid and periprosthetic tissues for clinical decision making in knee osteoarthritis</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2023 24th International Carpathian Control Conference (ICCC)
ISBN
979-8-3503-1022-1
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
358-363
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
neuveden
Event location
Szilvásvárad
Event date
Jun 12, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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