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.

Keywords

• wireless Electroencephalography (EEG)
• Event-Related Potential (ERP)
• biomedical signal processing
• spatio-chromatic image analysis
• color texture complexity
• visuo-cognitive interpretation