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Journal of Electronic Imaging

Improved contour detection model with spatial summation properties based on nonclassical receptive field
Author(s): Chuan Lin; Guili Xu; Yijun Cao; Chenghua Liang; Ya Li
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Paper Abstract

The responses of cortical neurons to a stimulus in a classical receptive field (CRF) can be modulated by stimulating the non-CRF (nCRF) of neurons in the primary visual cortex (V1). In the very early stages (at around 40 ms), a neuron in V1 exhibits strong responses to a small set of stimuli. Later, however (after 100 ms), the neurons in V1 become sensitive to the scene’s global organization. As per these visual cortical mechanisms, a contour detection model based on the spatial summation properties is proposed. Unlike in previous studies, the responses of the nCRF to the higher visual cortex that results in the inhibition of the neuronal responses in the primary visual cortex by the feedback pathway are considered. In this model, the individual neurons in V1 receive global information from the higher visual cortex to participate in the inhibition process. Computationally, global Gabor energy features are involved, leading to the more coherent physiological characteristics of the nCRF. We conducted an experiment where we compared our model with those proposed by other researchers. Our model explains the role of the mutual inhibition of neurons in V1, together with an approach for object recognition in machine vision.

Paper Details

Date Published: 2 August 2016
PDF: 10 pages
J. Electron. Imag. 25(4) 043018 doi: 10.1117/1.JEI.25.4.043018
Published in: Journal of Electronic Imaging Volume 25, Issue 4
Show Author Affiliations
Chuan Lin, Nanjing Univ. of Aeronautics and Astronautics (China)
Guangxi Univ. of Science and Technology (China)
Guili Xu, Nanjing Univ. of Aeronautics and Astronautics (China)
Yijun Cao, Guangxi Univ. of Science and Technology (China)
Chenghua Liang, Guangxi Univ. of Science and Technology (China)
Ya Li, Guangxi Univ. of Science and Technology (China)


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