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.

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

ESTIMATION OF DYNAMIC SYSTEM'S EXCITATION FORCES BY THE INDEPENDENT COMPONENT ANALYSIS

2012 ◽  
Vol 04 (03) ◽  
pp. 1250032 ◽  
Author(s):  
ALI AKROUT ◽  
DHOUHA TOUNSI ◽  
MOHAMED TAKTAK ◽  
MOHAMED SLIM ABBÈS ◽  
MOHAMED HADDAR
Keyword(s):  
Independent Component Analysis ◽  
Numerical Procedure ◽  
Component Analysis ◽  
Independent Component ◽  
Dynamic Responses ◽  
Statistical Criterion ◽  
Mass Spring ◽  
Discrete Mass ◽  
Signal Sources ◽  
Good Agreement

This paper deals with a numerical investigation for the estimation of dynamic system's excitation sources using the independent component analysis (ICA). In fact, the ICA concept is an important technique of the blind source separation (BSS) method. In this case, only the dynamic responses of a given mechanical system are supposed to be known. Thus, the main difficulty of such problem resides in the existence of any information about the excitation forces. For this purpose, the ICA concept, which consists on optimizing a fourth-order statistical criterion, can be highlighted. Hence, a numerical procedure based on the signal sources independency in the ICA concept is developed. In this work, the analytical or the finite element (FE) dynamic responses are calculated and exploited in order to identify the excitation forces applied on discrete (mass-spring) and continuous (beam) systems. Then, estimated results obtained by the ICA concept are presented and compared to those achieved analytically or by the FE and the modal recombination methods. Since a good agreement is obtained, this approach can be used when the vibratory responses of a dynamic system are obtained through sensor's measurements.

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

Functional Networks in the Anesthetized Rat Brain Revealed by Independent Component Analysis of Resting-State fMRI

2010 ◽  
Vol 103 (6) ◽  
pp. 3398-3406 ◽  
Author(s):  
R. Matthew Hutchison ◽  
Seyed M. Mirsattari ◽  
Craig K. Jones ◽  
Joseph S. Gati ◽  
L. Stan Leung
Keyword(s):  
Independent Component Analysis ◽  
Rat Brain ◽  
A Priori ◽  
Low Frequency ◽  
Component Analysis ◽  
Independent Component ◽  
Anterior Cingulate ◽  
Functional Networks ◽  
Seed Region ◽  
Subcortical Structures

The rodent brain is organized into functional networks that can be studied through examination of synchronized low-frequency spontaneous fluctuations (LFFs) of the functional magnetic resonance imaging -blood-oxygen-level-dependent (BOLD) signal. In this study, resting networks of LFFs were estimated from the whole-brain BOLD signals using independent component analysis (ICA). ICA provides a hypothesis-free technique for determining the functional connectivity map that does not require a priori selection of a seed region. Twenty Long-Evans rats were anesthetized with isoflurane (1%, n = 10) or ketamine/xylazine (50/6 mg · kg−1 · h−1 ip, n = 10) and imaged for 5–10 min in a 9.4 T MR scanner without experimental stimulation or task requirement. Independent, synchronous LFFs of BOLD signals were found to exist in clustered, bilaterally symmetric regions of both cortical and subcortical structures, including primary and secondary somatosensory cortices, motor cortices, visual cortices, posterior and anterior cingulate cortices, hippocampi, caudate-putamen, and thalamic and hypothalamic nuclei. The somatosensory and motor cortices typically demonstrated both symmetric and asymmetric components with unique frequency profiles. Similar independent network components were found under isoflurane and ketamine/xylazine anesthesia. The report demonstrates, for the first time, 12 independent resting networks that are bilaterally synchronous in different cortical and subcortical areas of the rat brain.

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