Skip to Main Content (Press Enter)

Logo UNIMORE
  • ×
  • Home
  • Degree programmes
  • Modules
  • Jobs
  • People
  • Research Outputs
  • Academic units
  • Third Mission
  • Projects
  • Skills

UNI-FIND
Logo UNIMORE

|

UNI-FIND

unimore.it
  • ×
  • Home
  • Degree programmes
  • Modules
  • Jobs
  • People
  • Research Outputs
  • Academic units
  • Third Mission
  • Projects
  • Skills
  1. Research Outputs

Colourgrams GUI: A graphical user-friendly interface for the analysis of large datasets of RGB images

Academic Article
Publication Date:
2020
Short description:
Colourgrams GUI: A graphical user-friendly interface for the analysis of large datasets of RGB images / Calvini, R.; Orlandi, G.; Foca, G.; Ulrici, A.. - In: CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. - ISSN 0169-7439. - 196:(2020), pp. 103915-103915. [10.1016/j.chemolab.2019.103915]
abstract:
Colourgrams GUI is a graphical user-friendly interface developed in order to facilitate the analysis of large datasets of RGB images through the colourgrams approach. Briefly, the colourgrams approach consists in converting a dataset of RGB images into a matrix of one-dimensional signals, the colourgrams, each one codifying the colour content of the corresponding original image. This matrix of signals can be in turn analysed by means of common multivariate statistical methods, such as Principal Component Analysis (PCA) for exploratory analysis of the image dataset, or Partial Least Squares (PLS) regression for the quantification of colour-related properties of interest. Colourgrams GUI allows to easily convert the dataset of RGB images into the colourgrams matrix, to interactively visualize the signals coloured according to qualitative and/or quantitative properties of the corresponding samples and to visualize the colour features corresponding to selected colourgram regions into the image domain. In addition, the software also allows to analyse the colourgrams matrix by means of PCA and PLS.
Iris type:
Articolo su rivista
Keywords:
Colourgrams; Data exploration; MATLAB graphical user interface; Multivariate calibration; Multivariate image analysis; RGB images
List of contributors:
Calvini, R.; Orlandi, G.; Foca, G.; Ulrici, A.
Authors of the University:
CALVINI ROSALBA
FOCA Giorgia
ULRICI Alessandro
Handle:
https://iris.unimore.it/handle/11380/1195701
Full Text:
https://iris.unimore.it//retrieve/handle/11380/1195701/251352/Submitted_Chemolab_6ago2019.pdf
Published in:
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
Journal
  • Overview

Overview

URL

www.elsevier.com/locate/chemometrics
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.1.0