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Edge Detection of Motion-Blurred Images Aided by Inertial Sensors [PDF]
Sensors, 2023 Edge detection serves as the foundation for advanced image processing tasks. The accuracy of edge detection is significantly reduced when applied to motion-blurred images.
Luo Tian +3 more
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Low-power edge detection based on ferroelectric field-effect transistor [PDF]
Nature CommunicationsEdge detection is one of the most essential research hotspots in computer vision and has a wide variety of applications, such as image segmentation, target detection, and other high-level image processing technologies.
Jiajia Chen +16 more
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Refined Edge Detection Method Based on Semantic Information [PDF]
Jisuanji gongcheng, 2022 Edge detection is to accurately extract visually significant edge pixels from the image to obtain the edge information of the image.Traditional edge detection methods based on Full Convolution Network(FCN) usually require rough and fuzzy edge prediction ...
HUANG Sheng, RAN Haoshan
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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
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Survey of Image Edge Detection
Frontiers in Signal Processing, 2022 Edge detection technology aims to identify and extract the boundary information of image pixel mutation, which is a research hotspot in the field of computer vision.
Rui Sun +12 more
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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
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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
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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
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Fuzzy Logic Based Edge Detection in Smooth and Noisy Clinical Images. [PDF]
PLoS ONE, 2015 Edge detection has beneficial applications in the fields such as machine vision, pattern recognition and biomedical imaging etc. Edge detection highlights high frequency components in the image. Edge detection is a challenging task.
Izhar Haq +4 more
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IEEE Access, 2021 In the last decade, deep neural network (DNN)-based object detection technologies have received significant attention as a promising solution to implement a variety of image understanding and video analysis applications on mobile edge devices.
Giha Yoon +4 more
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