pix2xray: converting RGB images into X-rays using generative adversarial networks
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Computer Assisted Radiology and Surgery"
DOI: 10.1007/s11548-020-02159-2
Abstract: Purpose We propose a novel methodology for generating synthetic X-rays from 2D RGB images. This method creates accurate simulations for use in non-diagnostic visualization problems where the only input comes from a generic camera. Traditional… read more here.
Keywords: generative adversarial; adversarial networks; hand pose; pix2xray converting ... See more keywords
Colourgrams GUI: A graphical user-friendly interface for the analysis of large datasets of RGB images
Sign Up to like & getrecommendations! Published in 2020 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2019.103915
Abstract: Abstract Colourgrams GUI is a graphical user-friendly interface developed in order to facilitate the analysis of large datasets of RGB images through the colourgrams approach. Briefly, the colourgrams approach consists in converting a dataset of… read more here.
Keywords: graphical user; analysis; gui graphical; user friendly ... See more keywords
Identification and Grading of Maize Drought on RGB Images of UAV Based on Improved U-Net
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.2972313
Abstract: A prerequisite for solving many agricultural problems is to accurately estimate the area affected by crop disasters and its severity rating. In this letter, we propose a pipeline to segment the drought area and distinguish… read more here.
Keywords: maize drought; rgb images; drought rgb; grading maize ... See more keywords
BUSIFusion: Blind Unsupervised Single Image Fusion of Hyperspectral and RGB Images
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2023.3241549
Abstract: Hyperspectral images (HSIs) provide rich spectral information that has been widely used in numerous computer vision tasks. However, their low spatial resolution often prevents their use in applications such as image segmentation and recognition. Fusing… read more here.
Keywords: busifusion blind; rgb images; fusion; rgb ... See more keywords
HASIC-Net: Hybrid Attentional Convolutional Neural Network With Structure Information Consistency for Spectral Super-Resolution of RGB Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3142258
Abstract: Spectral super-resolution (SSR), referring to the recovery of a reasonable hyperspectral image (HSI) from a single RGB image, has achieved satisfactory performance as part of the continued development of a convolutional neural network (CNN) in… read more here.
Keywords: information; rgb images; structure; structure information ... See more keywords
Bayesian Estimation of Intrinsic Tissue Oxygenation and Perfusion From RGB Images
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2017.2665627
Abstract: Multispectral imaging (MSI) can potentially assist the intra-operative assessment of tissue structure, function and viability, by providing information about oxygenation. In this paper, we present a novel technique for recovering intrinsic MSI measurements from endoscopic… read more here.
Keywords: intrinsic tissue; oxygenation; estimation intrinsic; tissue ... See more keywords
Neural Radiance Fields from Sparse RGB-D Images for High-Quality View Synthesis.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2022.3232502
Abstract: The recently proposed neural radiance fields (NeRF) use a continuous function formulated as a multi-layer perceptron (MLP) to model the appearance and geometry of a 3D scene. This enables realistic synthesis of novel views, even… read more here.
Keywords: rgb images; quality; neural radiance; synthesis ... See more keywords
Vein pattern recognition based on RGB images using Monte Carlo simulation and ridge tracking.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of forensic sciences"
DOI: 10.1111/1556-4029.15002
Abstract: In forensic investigations, images of evidence can often be obtained from crimes such as child pornography and masked violent riots. However, identifying criminals is usually very difficult and sometimes impossible because these images usually contain… read more here.
Keywords: vein patterns; monte carlo; vein; rgb images ... See more keywords
Spectral Reflectance Reconstruction from Red-Green-Blue (RGB) Images for Chlorophyll Content Detection
Sign Up to like & getrecommendations! Published in 2022 at "Applied Spectroscopy"
DOI: 10.1177/00037028221139871
Abstract: Chlorophyll is one of the most important pigments in plants, and the measurement of chlorophyll levels enables real-time monitoring of plant growth, which is of great importance to the vegetation monitoring. Compared with the high… read more here.
Keywords: rgb; rgb images; chlorophyll content; spectral reflectance ... See more keywords
A multi-scale approach to detecting standing dead trees in UAV RGB images based on improved faster R-CNN
Sign Up to like & getrecommendations! Published in 2023 at "PLOS ONE"
DOI: 10.1371/journal.pone.0281084
Abstract: The health of the trees in the forest affects the ecological environment, so timely detection of Standing Dead Trees (SDTs) plays an important role in forest management. However, due to the large spatial scope of… read more here.
Keywords: rgb images; multi scale; sdts; dead trees ... See more keywords
Multi-temporal monitoring of wheat growth by using images from satellite and unmanned aerial vehicle
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Agricultural and Biological Engineering"
DOI: 10.25165/ijabe.v10i5.3180
Abstract: Recently near-ground remote sensing using unmanned aerial vehicles (UAV) witnessed wide applications in obtaining field information. In this research, four Rapideye satellite images and eight RGB images acquired from UAV were used from early June… read more here.
Keywords: wheat; multi temporal; unmanned aerial; wheat growth ... See more keywords