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Article

Preparatory Experiments Regarding Human Brain Perception and Reasoning of Image Complexity for Synthetic Color Fractal and Natural Texture Images via EEG

Electronics and Computers Department, Transilvania University of Braşov, 500036 Brașov, Romania
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Appl. Sci. 2021, 11(1), 164; https://doi.org/10.3390/app11010164
Received: 2 November 2020 / Revised: 19 December 2020 / Accepted: 21 December 2020 / Published: 26 December 2020
(This article belongs to the Section Electrical, Electronics and Communications Engineering)
Texture plays an important role in computer vision in expressing the characteristics of a surface. Texture complexity evaluation is important for relying not only on the mathematical properties of the digital image, but also on human perception. Human subjective perception verbally expressed is relative in time, since it can be influenced by a variety of internal or external factors, such as: Mood, tiredness, stress, noise surroundings, and so on, while closely capturing the thought processes would be more straightforward to human reasoning and perception. With the long-term goal of designing more reliable measures of perception which relate to the internal human neural processes taking place when an image is perceived, we firstly performed an electroencephalography experiment with eight healthy participants during color textural perception of natural and fractal images followed by reasoning on their complexity degree, against single color reference images. Aiming at more practical applications for easy use, we tested this entire setting with a WiFi 6 channels electroencephalography (EEG) system. The EEG responses are investigated in the temporal, spectral and spatial domains in order to assess human texture complexity perception, in comparison with both textural types. As an objective reference, the properties of the color textural images are expressed by two common image complexity metrics: Color entropy and color fractal dimension. We observed in the temporal domain, higher Event Related Potentials (ERPs) for fractal image perception, followed by the natural and one color images perception. We report good discriminations between perceptions in the parietal area over time and differences in the temporal area regarding the frequency domain, having good classification performance. View Full-Text
Keywords: color texture complexity; color fractal images; visual perception; visuo-cognitive interpretation; reasoning; entropy; fractal dimension; event-related potentials; electroencephalography color texture complexity; color fractal images; visual perception; visuo-cognitive interpretation; reasoning; entropy; fractal dimension; event-related potentials; electroencephalography
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MDPI and ACS Style

Nicolae, I.E.; Ivanovici, M. Preparatory Experiments Regarding Human Brain Perception and Reasoning of Image Complexity for Synthetic Color Fractal and Natural Texture Images via EEG. Appl. Sci. 2021, 11, 164. https://doi.org/10.3390/app11010164

AMA Style

Nicolae IE, Ivanovici M. Preparatory Experiments Regarding Human Brain Perception and Reasoning of Image Complexity for Synthetic Color Fractal and Natural Texture Images via EEG. Applied Sciences. 2021; 11(1):164. https://doi.org/10.3390/app11010164

Chicago/Turabian Style

Nicolae, Irina E., and Mihai Ivanovici. 2021. "Preparatory Experiments Regarding Human Brain Perception and Reasoning of Image Complexity for Synthetic Color Fractal and Natural Texture Images via EEG" Applied Sciences 11, no. 1: 164. https://doi.org/10.3390/app11010164

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