The Neural Correlates of Image Texture in the Human Vision Using
Magnetoencephalography
- URL: http://arxiv.org/abs/2111.09118v1
- Date: Tue, 16 Nov 2021 01:09:51 GMT
- Title: The Neural Correlates of Image Texture in the Human Vision Using
Magnetoencephalography
- Authors: Elaheh Hatamimajoumerd, Alireza Talebpour
- Abstract summary: textural property of an image is one of the most important features in object recognition task in both human and computer vision applications.
Here, we investigated the neural signatures of four well-known statistical texture features including contrast, homogeneity, energy, and correlation.
Results: hierarchical structure in the processing of these four texture descriptors in the human brain with the order of contrast, homogeneity, energy, and correlation.
- Score: 1.3198689566654107
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Undoubtedly, textural property of an image is one of the most important
features in object recognition task in both human and computer vision
applications. Here, we investigated the neural signatures of four well-known
statistical texture features including contrast, homogeneity, energy, and
correlation computed from the gray level co-occurrence matrix (GLCM) of the
images viewed by the participants in the process of magnetoencephalography
(MEG) data collection. To trace these features in the human visual system, we
used multivariate pattern analysis (MVPA) and trained a linear support vector
machine (SVM) classifier on every timepoint of MEG data representing the brain
activity and compared it with the textural descriptors of images using the
Spearman correlation. The result of this study demonstrates that hierarchical
structure in the processing of these four texture descriptors in the human
brain with the order of contrast, homogeneity, energy, and correlation.
Additionally, we found that energy, which carries broad texture property of the
images, shows a more sustained statistically meaningful correlation with the
brain activity in the course of time.
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