Optical transition edge sensors (TESs) which can resolve an energy of a single photon have proven desirable in quantum information and biology. TESs can provide spectra ranging from near-infrared to ...

Edge detection in Synthetic Aperture Radar (SAR) images is challenging task in remote sensing as the images contain significant speckle noise. Many ratio-based edge detectors have been developed in ...

Image processing and edge detection have become some of the most essential problems that are solved by parallel computing techniques. One of the fundamental issues with image processing is the ...

As urban road damage issues become increasingly severe, automated road damage detection systems are becoming critically important. This paper proposes a CNN-YOLO-based road damage detection model ...

Real-time on-device object detection for video analytics fails to meet the accuracy requirement due to limited resources of mobile devices while offloading object detection inference to edges is ...

A new time-based asynchronous edge detection algorithm is here presented. The proposed technique allows to extend the dynamic range of the sensor at more than 100dB. The algorithm, which is intended ...

Single Shot Detection (SSD) based Deep Neural Network (DNN) has been widely used in edge computing due to the properties of one-stage detection and high accuracy. Especially in Field Programmable Gate ...

Infrared small target detection (IRSTD) is crucial in both military and civilian applications. However, challenges such as low contrast, low signal-to-noise ratio (SNR), and lack of shape and texture ...

Canny arithmetic operator has been proved to have good detective effect in the common usage of edge detection. However, Canny operator also has certain deficiencies. Based on the analysis of the ...

Exploiting multi-scale representations is critical to improve edge detection for objects at different scales. To extract edges at dramatically different scales, we propose a Bi-Directional Cascade ...

In this paper we propose a new wavelet-based approach for solving the edge detection problem. A primary knowledge about the magnitude and the direction of the edges extracted by the ordinary ...