Pseudo-univariate calibration based on independent component analysis for determination of the carbendazim concentration in orange juice

2017 ◽  
Vol 134 ◽  
pp. 114-118 ◽  
Author(s):  
Géssica M. Ribeiro ◽  
Daniel A. Madivadua ◽  
Suzana M.M. Curti ◽  
Leonardo P. Pantean ◽  
Paulo Henrique Março ◽  
...  
Keyword(s):  
Independent Component Analysis ◽  
Orange Juice ◽  
Component Analysis ◽  
Independent Component

Automatic determination of EMG-contaminated components and validation of independent component analysis using EEG during pharmacologic paralysis

2016 ◽  
Vol 127 (3) ◽  
pp. 1781-1793 ◽  
Author(s):  
S.P. Fitzgibbon ◽  
D. DeLosAngeles ◽  
T.W. Lewis ◽  
D.M.W. Powers ◽  
T.S. Grummett ◽  
...  
Keyword(s):  
Independent Component Analysis ◽  
Component Analysis ◽  
Independent Component ◽  
Automatic Determination

scholarly journals Psychophysical Determination of the Relevant Colours That Describe the Colour Palette of Paintings

2021 ◽  
Vol 7 (4) ◽  
pp. 72
Author(s):  
Juan Luis Nieves ◽  
Juan Ojeda ◽  
Luis Gómez-Robledo ◽  
Javier Romero
Keyword(s):  
Independent Component Analysis ◽  
A Priori ◽  
Component Analysis ◽  
Independent Component ◽  
Subjective Impression ◽  
Optimal Processing ◽  
Colour Palette ◽  
Colour Preferences ◽  
Good Agreement

In an early study, the so-called “relevant colour” in a painting was heuristically introduced as a term to describe the number of colours that would stand out for an observer when just glancing at a painting. The purpose of this study is to analyse how observers determine the relevant colours by describing observers’ subjective impressions of the most representative colours in paintings and to provide a psychophysical backing for a related computational model we proposed in a previous work. This subjective impression is elicited by an efficient and optimal processing of the most representative colour instances in painting images. Our results suggest an average number of 21 subjective colours. This number is in close agreement with the computational number of relevant colours previously obtained and allows a reliable segmentation of colour images using a small number of colours without introducing any colour categorization. In addition, our results are in good agreement with the directions of colour preferences derived from an independent component analysis. We show that independent component analysis of the painting images yields directions of colour preference aligned with the relevant colours of these images. Following on from this analysis, the results suggest that hue colour components are efficiently distributed throughout a discrete number of directions and could be relevant instances to a priori describe the most representative colours that make up the colour palette of paintings.

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