Segmentation techniques in image analysis: A comparative study
Derechos de accesoclosedAccess
MetadataShow full item record
AuthorVitale, Raffaele; Prats-Montalbán, José M.; López-García, Fernando; Blasco, José; Ferrer, Alberto
Cita bibliográficaVitale, 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.
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.