Title
Scalpel Region Detection based on the Location of Color Marks and Edge Detection
Date Issued
01 September 2020
Access level
metadata only access
Resource Type
conference paper
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
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.
Language
English
OCDE Knowledge area
Ingeniería, Tecnología
Scopus EID
2-s2.0-85095427878
Source
Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020
ISBN of the container
9781728193779
Conference
27th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020
Sources of information: Directorio de Producción Científica Scopus