We develop a new edge detection algorithm, holistically-nested edge detection (HED), which performs image-to-image prediction by means of a deep learning model that leverages fully convolutional ...

Field-Programmable Gate Arrays (FPGAs) offer a flexible hardware substrate for accelerating image edge detection, combining high parallelism with reconfigurability to meet real-time throughput and low ...

Abstract: Edge detection technique serves as a preprocessing step for many IMAGE PROCESSING algorithms such as image enhancement, image segmentation, tracking and image/video coding. The edge ...

The shallow learning part of the code depends on Python and OpenCV. It has been tested in conda virtual environment with Python 3.6.10 and OpenCV 4.3.0. Whereas the dynamic programming part of the ...

Abstract: This study introduces an integrated convolutional mask method for enhancing edge detection in digital images by combining the linear homotopy parametric value (LHP) with classical edge ...

Camera calibration plays an important role in various optical measurement and computer vision applications. Accurate calibration parameters of a camera can give a better performance. The key step to ...

Directed cortical responses to intracranial electrical stimulation are a good standard for mapping inter-regional direct connectivity. Cortico-cortical evoked potential (CCEP), elicited by single ...