… Traditional edge detection algorithms can, however, also be extended with surround … of
contour detection in machine vision, this study contributes to the understanding of inhibitory …

… reduce the inhibition strength when an object contour likely … –surround interaction based
contour detection in the following … field, the non-adaptive side inhibition and the adaptive end …

… The contour detection model that we propose is inspired by the phenomena of push-pull
inhibition and non-classical receptive fields that occur in many simple cells of visual cortex. The …

… However, the model did not explain the source of NCRF inhibition. In this paper, we … of
inhibition, and introduced a modified inhibition model, in which isotropic and anisotropic inhibition …

… -CRF inhibition is the separation of contour from texture information and the mediation of
object contours … Indeed, while non-CRF inhibition scarcely influences the responses to isolated …

… We now present a brief overview of the state of the art in the field of edge detection. We
divide the existing algorithms into non-contextual and contextual methods. In the former, edges …

… for contour detection based on the surround inhibition in multiple visual feature dimensions,
with emphasis on how to determine the surround inhibition … of the work to the field of image …

… -based inhibition is proposed in this paper to improve the performance of perceptually salient
contour detection … Contour detection plays a fundamental role in the field of computer vision …

… receptive field (non-CRF) inhibition, to improve the performance of … contours, but exhibits
a weaker or no response to edges that make part of texture. We evaluate the contour detection …

… receptive field (non-CRF) inhibition, to improve contour detection in images of natural
scenes. We augment a Gabor energy operator with non-CRF inhibition. The resulting contour …