# Color Texture Image Complexity--EEG-Sensed Human Brain Perception vs. Computed Measures
###### Abstract  
In practical applications, such as patient brain signals monitoring, a non-invasive recording system with fewer channels for an easy setup and a wireless connection for remotely monitor physiological signals will be beneficial. In this paper, we investigate the feasibility of using such a system in a visual perception scenario. We investigate the complexity perception of color natural and synthetic fractal texture images, by studying the correlations between four types of data: image complexity that is expressed by computed color entropy and color fractal dimension, human subjective evaluation by scoring, and the measured brain EEG responses via Event-Related Potentials. We report on the considerable correlation experimentally observed between the recorded EEG signals and image complexity while considering three complexity levels, as well on the use of an EEG wireless system with few channels for practical applications, with the corresponding electrodes placement in accordance with the type of neural activity recorded.  
wireless Electroencephalography (EEG); Event-Related Potential (ERP); biomedical signal processing spatio-chromatic image analysis; color texture complexity; visuo-cognitive interpretation; behavioral measures; color entropy; color fractal dimension; Pearson correlation +
Footnote †: 2021: _Applied Sciences_  
where the neural potential activity needs to be remotely scanned, such as in EEG ambulatory patient monitoring [11], we investigate the use of a reduced electrode system within a wireless setting, in order to reduce the preparation time and ease the heaviness and robustness of the EEG cap, while at the same time keeping the gold standard gel-based electrodes with high amplifiers system, as used in medical and research applications (e.g., Biopac system--[[https://www.biopac.com/application/eeg-electroencephalography/](https://www.biopac.com/application/eeg-electroencephalography/)]([https://www.biopac.com/application/eeg-electroencephalography/](https://www.biopac.com/application/eeg-electroencephalography/)), accessed 8 May 2021). So far, the gel-based systems are only used in a limited number of clinical applications where no alternatives exist, such as: epilepsy detection [12], brain recovery after injury [13; 14], cognitive problems [15], while single channel recordings have been reported in behavioral science investigations [1]. Therefore, we investigate such wireless reduced channels EEG gel-based setting in a specific context of perceiving texture complexity, with the corresponding electrodes placement in accordance with the type of neural activity recorded. Being able to detect fine differences, such as in visual perception [16] and visuo-cognitive textural interpretation [17] with a reduced channel system, could be of great importance for any other subtle cognitive processes or behavior actions detection for medical health, psychiatry, or psychology evaluations [17; 18; 19]. Further, capturing brain functioning does not solely rely on measurement devices and acquisition methods, but also on the methods of processing, analyzing, and investigating the signals flowing from the brain. Frequent advances [20; 21] are taking steps in this regard to help analyze and interpret the neural data with progressive precision.