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Scalpel Region Detection based on the Location of Color Marks and Edge Detection

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dc.contributor.author Suarez-Quispe J.C. es_PE
dc.contributor.author Ramos O.E. es_PE
dc.date.accessioned 2024-05-30T23:13:38Z
dc.date.available 2024-05-30T23:13:38Z
dc.date.issued 2020
dc.description.abstract This work proposes an algorithm for scalpel region detection using color segmentation and edge detection. The input images are obtained with a fixed camera that has a line of view perpendicular to the scalpel plane. Three squares of red, green and blue colors were added to the scalpel in order to serve as fiducials. For the detection of those marks, the use of two methods was evaluated: One based on the application of thresholds to the color components, and the other based on the use of a fuzzy rule machine. The experimentation shows that both approaches provide similar results. Some morphological operations are then applied in order to detect the scalpel region. The algorithm was successfully tested in several cases, and some examples of the results are presented and analyzed. © 2020 IEEE.
dc.description.sponsorship Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concytec
dc.identifier.doi https://doi.org/10.1109/INTERCON50315.2020.9220207
dc.identifier.scopus 2-s2.0-85095427878
dc.identifier.uri https://hdl.handle.net/20.500.12390/2492
dc.language.iso eng
dc.publisher Institute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020
dc.rights info:eu-repo/semantics/openAccess
dc.subject Fuzzy Logic
dc.subject Color Thresholds es_PE
dc.subject Digital Image Processing es_PE
dc.subject Edge Detection es_PE
dc.subject.ocde http://purl.org/pe-repo/ocde/ford#2.02.06
dc.title Scalpel Region Detection based on the Location of Color Marks and Edge Detection
dc.type info:eu-repo/semantics/article
dspace.entity.type Publication
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