The goal of this work is to present a computational model for contour detection, based on the
surround suppression mechanisms of the primary visual cortex, in which the strength of …

Sufficient physiological studies have revealed that surround inhibition substantially occurs
when difference exists between the classical receptive field (CRF) and its surrounding (ie …

A contour detection model, inspired by the behavior of the primary visual cortex, is
presented. The response of a central stimulus in the receptive field is affected by the …

Contour detection is a salient operation in many computer vision applications as it extracts
features that are important for distinguishing objects in scenes. It is believed to be a primary …

To effectively perform visual tasks like detecting contours, the visual system normally needs
to integrate multiple visual features. Sufficient physiological studies have revealed that for a …

We propose a biologically motivated method, called nonclassical receptive field (non-CRF)
inhibition (more generally, surround inhibition or suppression), to improve contour detection …

The broad region outside the classical receptive field (CRF) of a neuron in the primary visual
cortex (V1), namely non-CRF (nCRF), exerts robust modulatory effects on the responses to …

We propose a computational step, called surround suppression, to improve detection of
object contours and region boundaries in natural scenes. This step is inspired by the …

Neurons in the primary visual cortex (V1) respond differently to a simple visual element
presented in isolation from when it is embedded within a cluttered scene. The contextual …

This paper addresses contour detection by simulating the human visual system and its
application to visual object classification. Unlike previously designed bioinspired contour …