A dictionary‐based graph‐cut algorithm for MRI reconstruction
Sign Up to like & getrecommendations! Published in 2020 at "NMR in Biomedicine"
DOI: 10.1002/nbm.4344
Abstract: Compressive sensing (CS)‐based image reconstruction methods have proposed random undersampling schemes that produce incoherent, noise‐like aliasing artifacts, which are easier to remove. The denoising process is critically assisted by imposing sparsity‐enforcing priors. Sparsity is known… read more here.
Keywords: reconstruction; based graph; graph cut; cut algorithm ... See more keywords
A Graph-Cut-Based Method for Road Labels Making With OSM Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3135960
Abstract: Aiming at producing the road labels for deep neural networks (DNNs), this letter proposes a graph-cut-based method to make road annotations on very high-resolution (VHR) remote-sensing images. With the aid of OpenStreetMap (OSM), a superpixel… read more here.
Keywords: road; graph cut; method road; based method ... See more keywords
Ultra-Fast FPGA Implementation of Graph Cut Algorithm With Ripple Push and Early Termination
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2021.3137590
Abstract: Graph cut has been a popular approach widely used to solve the minimum cut problem, which is prevalent in computer vision tasks, although not limited to this field. Push-relabel is considered as one of the… read more here.
Keywords: graph cut; early termination; push;
3D Segmentation of Trees Through a Flexible Multiclass Graph Cut Algorithm
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2019.2940146
Abstract: Developing a robust algorithm for automatic individual tree crown (ITC) detection from airborne laser scanning (ALS) data sets is important for tracking the responses of trees to anthropogenic change. Such approaches allow the size, growth,… read more here.
Keywords: multiclass graph; graph cut; segmentation;
A Novel Image Reconstruction Strategy for ECT: Combining Two Algorithms With a Graph Cut Method
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2019.2905282
Abstract: Image reconstruction plays a key role in the application of electrical capacitance tomography (ECT). Although many different algorithms have been developed in the past, it is often difficult to obtain satisfactory images in all imaging… read more here.
Keywords: reconstruction; image reconstruction; graph cut; strategy ... See more keywords
A Graph Cut Approach to Artery/Vein Classification in Ultra-Widefield Scanning Laser Ophthalmoscopy
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2017.2762963
Abstract: The classification of blood vessels into arterioles and venules is a fundamental step in the automatic investigation of retinal biomarkers for systemic diseases. In this paper, we present a novel technique for vessel classification on… read more here.
Keywords: classification; scanning laser; classification ultra; artery vein ... See more keywords
Accurate sea–land segmentation using ratio of average constrained graph cut for polarimetric synthetic aperture radar data
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Applied Remote Sensing"
DOI: 10.1117/1.jrs.11.026023
Abstract: Abstract. Separating sea surface and land areas in synthetic aperture radar (SAR) images is challenging yet of great importance to coastline extraction and subsequent coastal classification. Results of the previous state-of-art methods often suffer from… read more here.
Keywords: aperture radar; sea; land; sea land ... See more keywords
Pedestrian segmentation based on a spatio-temporally consistent graph-cut with optimal transport
Sign Up to like & getrecommendations! Published in 2019 at "IPSJ Transactions on Computer Vision and Applications"
DOI: 10.1186/s41074-019-0062-2
Abstract: We address a method of pedestrian segmentation in a video in a spatio-temporally consistent way. For this purpose, given a bounding box sequence of each pedestrian obtained by a conventional pedestrian detector and tracker, we… read more here.
Keywords: spatio temporally; segmentation; graph cut; graph ... See more keywords
Fusion Between Shape Prior and Graph Cut for Vehicle Image Segmentation
Sign Up to like & getrecommendations! Published in 2020 at "Traitement du Signal"
DOI: 10.18280/ts.370211
Abstract: Received: 19 October 2019 Accepted: 28 January 2020 In vehicle image segmentation, the traditional graph cut algorithm often have errors, when the original image contains shadows or complex background. To overcome the errors, this paper… read more here.
Keywords: image; shape prior; vehicle; graph cut ... See more keywords
A semi-automatic motion-constrained Graph Cut algorithm for Pedestrian Detection in thermal surveillance videos
Sign Up to like & getrecommendations! Published in 2022 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.1064
Abstract: This article presents a semi-automatic algorithm that can detect pedestrians from the background in thermal infrared images. The proposed method is based on the powerful Graph Cut optimisation algorithm which produces exact solutions for binary… read more here.
Keywords: graph cut; algorithm; semi automatic; motion ... See more keywords