… We combine classical edge detection with two types of inhibitory mechanism, isotropic and
… contour detection in machine vision, this study contributes to the understanding of inhibitory …

… the observed effect to nonclassical receptive field (nonCRF) inhibition in visual area V1. This
… We introduce computational models of two types of cell that incorporate non-CRF inhibition, …

… In addition, surround inhibition is normally spatially asymmetric. Inspired by these visual …
feasible contour detection method based on an improved orientation-selective inhibition model …

… In this study, a multi-scale integration based contour extraction model, inspired by the
inhibitory and disinhibitory interactions between the CRF and the nCRF is presented. Unlike …

… (marked with a red box), while the nCRF modulation would weaken the response due to
surround inhibition resulting from homogenous texture fields (marked with a blue box). …

… the non-classical receptive field inhibition to reduce texture edges and to extract isolated
contours in real images. However, the model did not explain the source of NCRF inhibition. In …

… Each of these elements in the region of the receptive field should be multiplied and added
as inhibition term E n , which corresponds to the influence of the surrounding neurons on the …

… [4] proposed a butterfly-shaped inhibition model, which included two inhibitory side
subregions and two facilitatory end subregions. Tang’s model can extract coherent …

… and contour detection using the non-classical receptive field … receptive field surround
inhibition was proposed that was based on luminance and contrast. The salient contour detection …

… In conclusion, the contour detection model proposed in this study combines the properties
… of nonclassical receptive fields and provides better performance in detecting contours from …