RT article
T1 Segmentation techniques in image analysis: A comparative study
A1 Vitale, Raffaele
A1 Prats-Montalbán, José M.
A1 López-García, Fernando
A1 Blasco, José
A1 Ferrer, Alberto
K1 Color information
K1 Graphs
K1 Multivariate image analysis
K1 Segmentation
K1 Textural information
K1 U30  Research methods
K1 N01  Agricultural engineering
AB Nowadays, the detection, localization, and quantification of different kinds of features in an RGB image (segmentation) is extremely helpful for, e.g., process monitoring or customer product acceptance. In this article, some of the most commonly used RGB image segmentation approaches are compared in an orange quality control case study. Analysis of variance and correspondence analysis are combined for determining their most relevant differences and highlighting their pros and cons.
PB Wiley
SN 1099-128X
YR 2016
FD 2016
LK http://hdl.handle.net/20.500.11939/6958
UL http://hdl.handle.net/20.500.11939/6958
LA en
NO Vitale, R., Prats‐Montalbán, J. M., López‐García, F., Blasco, J., & Ferrer, A. (2016). Segmentation techniques in image analysis: A comparative study. Journal of Chemometrics, 30(12), 749-758.
DS MINDS@UW
RD Dec 7, 2023