Results 31 to 40 of about 5,151,122 (293)
Unifying Deep ConvNet and Semantic Edge Features for Loop Closure Detection
Remote Sensing, 2022 Loop closure detection is an important component of Simultaneous Localization and Mapping (SLAM). In this paper, a novel two-branch loop closure detection algorithm unifying deep Convolutional Neural Network (ConvNet) features and semantic edge features ...
Jie Jin, Jiale Bai, Yan Xu, Jiani Huang
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The structure of multi-edge features fusion attention network.
, 2023 The structure of multi-edge features fusion attention network.
Huachang Li (13804872) +4 more
core +1 more source
Color Edge Detection Based on Adaptive Directional Derivative Filter [PDF]
Jisuanji gongcheng, 2022 Conventional color edge detection algorithms may detect noise as edges when improving the accuracy of edge detection.While improving the robustness of noise, some edges will be suppressed as noise, resulting in the loss of some edge information.To ...
WANG Fuping, YU Juntao, ZHANG Qieshi
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Edge Detection and Features Extraction for Dental X-Ray [PDF]
Engineering and Technology Journal, 2016 Recently, the dental X-Ray images have been used in different applications, particularly in the forensic field. The researchers focuses on the separation of the underlying teeth individually to obtain their features.
Muayad Sadik Croock +2 more
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Combining Geometric Edge Detectors for Feature Detection [PDF]
, 2010 We propose a novel framework for the analysis and modeling of discrete edge filters, based on the notion of signed rays. This framework will allow us to easily deduce the geometric and localization properties of a family of first-order filters, and use this information to design custom filter banks for specific applications.
Michaël Heyvaert +3 more
openaire +3 more sources
Feature Selection for Edge Detection in PolSAR Images
Remote Sensing, 2023 Edge detection is one of the most critical operations for moving from data to information. Finding edges between objects is relevant for image understanding, classification, segmentation, and change detection, among other applications. The Gambini Algorithm is a good choice for finding evidence of edges.
Anderson A. De Borba +3 more
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Research on conveyor belt deviation detection method
Gong-kuang zidonghua, 2023 The machine vision-based conveyor belt deviation detection methods detect conveyor belt edge features. The features contain false edges. The existing research is difficult to identify false edges and has poor adaptability to multiple scenes.
WANG Kai +4 more
doaj +1 more source
IEEE AccessSalient object detection in remote sensing images (RSI-SOD) aims to identify visually prominent objects by mimicking human visual perception. While convolutional neural networks (CNNs) have significantly improved detection accuracy, most RSI-SOD methods ...
Qian Tang +3 more
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Edge-Guided Hierarchical Network for Building Change Detection in Remote Sensing Images
Applied SciencesBuilding change detection monitors building changes by comparing and analyzing multi-temporal images acquired from the same area and plays an important role in land resource planning, smart city construction and natural disaster assessment.
Mingzhe Yang +3 more
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H.266/VVC fast intra prediction using Sobel edge features
Electronics Letters, 2021 Versatile video coding is the next‐generation video coding standard. Compared with the previous high efficiency video coding standard, versatile video coding reduces 30% or more bitrate but requires significantly higher encoding complexity.
Shih‐Hsuan Yang, Sheng‐Jung Hsiao
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