Change detection (CD) in remote sensing (RS) images serves as a vital method for identifying changes on the Earth's surface. Recent advancements in deep learning (DL)-based CD methods have shown ...

Object detection is a widely applied approach in addressing many real-world computer vision challenges. Despite its importance, object detection is computationally intensive and time-consuming, even ...

Firstly, the edges in the cover image are identified using a suitable edge detection method (i.e., using the canny or sobel algorithm), and then the secret data is embedded inside the edge-detected ...

The proliferation of consumer electronics and 5G advancements have driven explosive growth in network traffic. Classifying traffic on mobile edge devices is critical for consumer electronics services.

Remote sensing change detection (CD) aims to accurately reveal surface changes by comparing two temporally separated images of the same area. However, in complex environments, insufficient edge detail ...

A new edge detection method is proposed for the inspection of navel orange surface defects, enabling precise defect localization, classification type, and size estimation. This study facilitates ...

Given the constraints of deploying detection models at resource-limited pipeline stations, there is a compelling need to develop efficient, lightweight models suitable for edge device applications.

Edge detection is frequently employed to support downstream visual tasks. However, current edge detection methods still encounter two significant challenges: extracting complex textured targets and ...

The Scanning Electron Microscope (SEM) images of Random Access Memory (RAM) chips contain valuable processrelated information, particularly at the edges, which can provide critical insights for ...

The Canny edge detector is one of the most widely used edge detection algorithms due to its superior performance. Unfortunately, not only is it computationally more intensive as compared with other ...

Generating 3-D wireframe from point cloud has been widely applied in 3-D measurement. The primary challenge lies in accurately detecting edge points and constructing complete wireframe structures. To ...