Image Edge Detection The Canny edge detector is an edge detection operator that uses a multi-stage algorithm to detect a wide range of edges in images. It was developed by John F. Canny in 1986. Canny ...

New research paper titled “Oscillatory Neural Network as Hetero-Associative Memory for Image Edge Detection” from LIRMM – Laboratoire d’Informatique de Robotique et de Microélectronique de Montpellier ...

In this study, a metasurface composed of dielectric cylinders with hexagonal lattice period is demonstrated experimentally to realize second-order two-dimensional (2D) image edge detection ...

Using the top-of-the-line Hailo-15H, users can run an object detection model like YOLOv5 in real time at a resolution of 1280×1280 — or the benchmark ResNet-50 classification model at 700 ...