Results 11 to 20 of about 6,313,537 (354)
HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2021 Deep learning-based coastline detection algorithms have begun to outshine traditional statistical methods in recent years. However, they are usually trained only as single-purpose models to either segment land and water or delineate the coastline.
Konrad Heidler +4 more
semanticscholar +1 more source
Holistically-Nested Edge Detection [PDF]
International Journal of Computer Vision, 2015 We develop a new edge detection algorithm that addresses two important issues in this long-standing vision problem: (1) holistic image training and prediction; and (2) multi-scale and multi-level feature learning. Our proposed method, holistically-nested
Saining Xie, Z. Tu
semanticscholar +1 more source
Research on Image Denoising in Edge Detection Based on Wavelet Transform
Applied Sciences, 2023 Photographing images is used as a common detection tool during the process of bridge maintenance. The edges in an image can provide a lot of valuable information, but the detection and extraction of edge details are often affected by the image noise ...
Ning You +3 more
semanticscholar +1 more source
Applied Sciences, 2022 Airport apron carries a lot of preparations for flight operation, and the advancement of its various tasks is of great significance to the flight operation.
Zonglei Lyu, Jia Luo
doaj +1 more source
Richer Convolutional Features for Edge Detection [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016 Edge detection is a fundamental problem in computer vision. Recently, convolutional neural networks (CNNs) have pushed forward this field significantly. Existing methods which adopt specific layers of deep CNNs may fail to capture complex data structures
Yun Liu +4 more
semanticscholar +1 more source
IMPROVED EDGE DETECTION FOR SATELLITE IMAGES [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Edges are a key feature employed in various computer vision applications namely segmentation, object recognition, feature tracking and 3D reconstruction.
W. Mapurisa +3 more
doaj +1 more source
RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth [PDF]
IEEE International Conference on Computer Vision, 2021 As a fundamental building block in computer vision, edges can be categorised into four types according to the discontinuity in surface-Reflectance, Illumination, surface-Normal or Depth.
Mengyang Pu +3 more
semanticscholar +1 more source
Improved payload capacity in LSB image steganography uses dilated hybrid edge detection
Journal of King Saud University: Computer and Information Sciences, 2022 This research proposed the dilated hybrid edge detection on the three most significant bits (MSB) pixels of cover images with the aim of expanding the edge area so as to increase the data embedding capacity in image steganography.
De Rosal Ignatius Moses Setiadi
doaj +1 more source
Image Edge Recognition of Virtual Reality Scene Based on Multi-Operator Dynamic Weight Detection
IEEE Access, 2020 Image edge detection in virtual reality scenes is one of the most important technologies in the field of image processing and computer vision. It occupies an important position in the image processing system and is a key factor that affects the ...
Jian Liu +5 more
doaj +1 more source
LDC: Lightweight Dense CNN for Edge Detection
IEEE Access, 2022 This paper presents a Lightweight Dense Convolutional (LDC) neural network for edge detection. The proposed model is an adaptation of two state-of-the-art approaches, but it requires less than 2% of parameters in comparison with these approaches.
Xavier Soria Poma +2 more
semanticscholar +1 more source