TY - JOUR 
A1 - Vitale, Raffaele
AU - Prats-Montalbán, José M.
AU - López-García, Fernando
AU - Blasco, José
AU - Ferrer, Alberto
T1 - Segmentation techniques in image analysis: A comparative study
Y1 - 2016
SN - 1099-128X
UR - http://hdl.handle.net/20.500.11939/6958
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.
KW - Color information
KW - Graphs
KW - Multivariate image analysis
KW - Segmentation
KW - Textural information
KW - U30  Research methods
KW - N01  Agricultural engineering
LA - en
PB - Wiley
ER -