At the single-cell level in the visual system, the properties of the receptive field (RF) are
important bases of visual information processing. The area surrounding classical receptive …

A multi-scale processing model for contour detection based on the perception mechanism of
primary visual cortex (V1) is proposed. At first, responses of V1 cells to contours and …

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 …

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

Automatically target contour detection from cluttered scenes is a very difficult task for
computer vision. Humans, however, have a much better background suppress ability. 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 …

This paper presents a method for image segmentation and object detection. The proposed
strategy consists of two major stages. The first one corresponds to image segmentation …

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 is a critical feature for image description and object recognition in many computer
vision tasks. However, detection of object contour remains a challenging problem because …

The majority of neurons in primary visual cortex (V1) of brain are orientation-selective. Both
the classical receptive field (CRF) and the non-classical receptive field (NCRF), which …