Neurophysiological evidence demonstrates that classical receptive field responses in the
primary visual cortex can be modulated by the non-classical receptive field. Although …

In this paper, a neural network-based color edge detector is constructed by learning a
classifier using anisotropic directional derivative (ANDD) matrices of a color image as input …

The ability to detect edges is a fundamental attribute necessary to truly capture visual
concepts. In this paper, we show that edges cannot be represented properly in the first layer …

While RGB is the status quo in machine vision, other color spaces offer higher utility in
distinct visual tasks. Here, the authors have investigated the impact of color spaces on the …

In the past few years, contour detection algorithm has made obvious progress with the help
of convolutional neural networks. The aim of this paper is to present a novel network …

Представлена модель комплексного нейрона конца линий. Этот тип нейронов дает
максимальный отклик на конце линии и используется для уточнения выделения краев …

Edge detection algorithms based on deep learning have made great progress due to its
super feature extraction and presentation ability in recent years. However, existing edge …