Publication
Fractional Order Image Processing of Medical Images
| dc.contributor.author | Bento, Tiago | |
| dc.contributor.author | Valério, Duarte | |
| dc.contributor.author | Teodoro, Pedro | |
| dc.contributor.author | Martins, Jorge | |
| dc.date.accessioned | 2025-02-10T11:14:52Z | |
| dc.date.available | 2025-02-10T11:14:52Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | To perform a robot-assisted surgery of a prosthesis implantation on a patient’s femur, we may need to get the femoral head-neck orientation for the application. We can extract that information from Computed Tomography scans, using image processing. In image processing, edge detection often makes use of integer-order differentiation operators (e.g. Canny and LoG operators). This paper shows that introducing non-integer (fractional) differentiation to edge detectors (Fractional Canny, Fractional LoG, Fractional Derivative operators) can improve automatic edge detection results. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Bento, Tiago & Valério, Duarte & Teodoro, Pedro & Martins, Jorge. (2017). Fractional Order Image Processing of Medical Images. Journal of Applied Nonlinear Dynamics. 6. 181-191. 10.5890/JAND.2017.06.005. | pt_PT |
| dc.identifier.doi | http://dx.doi.org/10.5890/JAND.2017.06.005 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10400.26/54334 | |
| dc.language.iso | eng | pt_PT |
| dc.relation.publisherversion | https://www.lhscientificpublishing.com/Journals/articles/DOI-10.5890-JAND.2017.06.005.aspx | pt_PT |
| dc.title | Fractional Order Image Processing of Medical Images | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 191 | pt_PT |
| oaire.citation.issue | 2 | pt_PT |
| oaire.citation.startPage | 181 | pt_PT |
| oaire.citation.title | Journal of Applied Nonlinear Dynamics | pt_PT |
| oaire.citation.volume | 6 | pt_PT |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |
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