The broad region outside the classical receptive field (CRF) of a vision neuron, known as the
non-classical receptive field (nCRF), exerts a robust modulatory effect on the responses to …

We present an overview of various edge and line oriented approaches to contour detection
that have been proposed in the last two decades. By edge and line oriented we mean …

Compared to computer vision systems, the human visual system is more fast and accurate. It
is well accepted that V1 neurons can well encode contour information. There are plenty of …

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 …

In real world images, many algorithms for adaptive contours detection exist and various
improvements to the contours detection have been proposed. The reason for such diversity …

Physiological studies have revealed that the center–surround mechanism widely exists in
the primary stages of the human visual system, such as the retina, lateral geniculate nucleus …

In computer vision, edge and object contour detection is essential for higher-level vision
tasks, such as shape matching, visual salience, image segmentation, and object recognition …

Many cues have been proposed for contour detection or image segmentation. These include
low-level image gradients to high-level information such as the identity of the objects in the …

In this paper we propose a multiscale biologically motivated technique for contour detection
by texture suppression. Standard edge detectors react to all the local luminance changes …

Contour detection serves as the basis of a variety of computer vision tasks such as image
segmentation and object recognition. The mainstream works to address this problem focus …