Results 1 to 10 of about 167,358 (260)
A Lightweight Aerial Power Line Segmentation Algorithm Based on Attention Mechanism
Machines, 2022 Power line segmentation is very important to ensure the safe and stable operation of unmanned aerial vehicles in intelligent power line inspection. Although the power line segmentation algorithm based on deep learning has made some progress, it is still ...
Gujing Han +7 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Key objects’ semantic segmentation and power line extraction from the electric power corridor point cloud are critical steps in power line inspection.
Xiuning Liu +5 more
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Fast and Accurate Plane Segmentation of Airborne LiDAR Point Cloud Using Cross-Line Elements
Remote Sensing, 2016 Plane segmentation is an important step in feature extraction and 3D modeling from light detection and ranging (LiDAR) point cloud. The accuracy and speed of plane segmentation are two issues difficult to balance, particularly when dealing with a massive
Teng Wu, Xiangyun Hu, Lizhi Ye
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Line and Ligature Segmentation of Urdu Nastaleeq Text
IEEE Access, 2017 The recognition accuracy of ligature-based Urdu language optical character recognition (OCR) systems highly depends on the accuracy of segmentation that converts Urdu text into lines and ligatures. In general, lines and ligatures-based Urdu language OCRs
Ibrar Ahmad +4 more
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Understanding Unsupervised Deep Learning for Text Line Segmentation
Applied Sciences, 2022 We propose an unsupervised feature learning approach for segmenting text lines of handwritten document images with no labelling effort. Humans can easily group local text line features to global coarse patterns.
Ahmad Droby +5 more
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Learning-Free Text Line Segmentation for Historical Handwritten Documents
Applied Sciences, 2020 We present a learning-free method for text line segmentation of historical handwritten document images. This method relies on automatic scale selection together with second derivative of anisotropic Gaussian filters to detect the blob lines that strike ...
Berat Kurar Barakat +4 more
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Segmenting Epipolar Line [PDF]
2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2020 Identifying feature correspondence between two images is a fundamental procedure in three-dimensional computer vision. Usually the feature search space is confined by the epipolar line. Using the cheirality constraint, this paper finds that the feature search space can be restrained to one of two or three segments of the epipolar line that are defined ...
Shengjie Li, Qi Cai, Yuanxin Wu
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Journal of Imaging, 2021 The paper structure of historical prints is sort of a unique fingerprint. Paper with the same origin shows similar chain line distances. As the manual measurement of chain line distances is time consuming, the automatic detection of chain lines is ...
Aline Sindel +3 more
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Image and Vision Computing, 1990 This paper describes the development and the implementation of a line segments based token tracker. Given a sequence of time-varying images, the goal is to track line segments corresponding to the edges extracted from the image being analyzed. We will present a tracking approach that combines a prediction and a matching steps.
Rachid Deriche, Olivier D. Faugeras
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ISPRS International Journal of Geo-Information, 2022 Recognizing morphological patterns in lines and segmenting them into homogeneous segments is critical for line generalization and other applications.
Min Yang +3 more
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