Results 61 to 70 of about 916,287 (235)
Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging
, 2019 Many analyses of neuroimaging data involve studying one or more regions of interest (ROIs) in a brain image. In order to do so, each ROI must first be identified.
Brown, D. Andrew +3 more
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RADFNet: An infrared and visible image fusion framework based on distributed network
Frontiers in Plant Science, 2023 IntroductionThe fusion of infrared and visible images can improve image quality and eliminate the impact of changes in the agricultural working environment on the information perception of intelligent agricultural systems.MethodsIn this paper, a ...
Siling Feng +4 more
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User tracking using a wearable camera [PDF]
, 2012 —This paper addresses automatic indoor user tracking based on fusion of WLAN and image sensing. Our motivation is the increasing prevalence of wearable cameras, some of which can also capture WLAN data.
Brennan, Conor +2 more
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Multimodal image registration with applications to image fusion
2005 7th International Conference on Information Fusion, 2005 This paper presents an algorithm for accurately aligning two images of the same scene captured simultaneously by sensors operating in different wavebands (e.g. TV and IR). Such a setup is common in image fusion systems where the sensors are physically aligned as closely as possible and yet significant image mis-alignment remains due to differences ...
Heather, Jamie P, Smith, Moira I
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Multi-Focus Image Fusion: Algorithms, Evaluation, and a Library
Journal of Imaging, 2020 Image fusion is a process that integrates similar types of images collected from heterogeneous sources into one image in which the information is more definite and certain.
Rabia Zafar +2 more
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Multi-Exposure Image Fusion Algorithm Based on Improved Weight Function
Frontiers in Neurorobotics, 2022 High-dynamic-range (HDR) image has a wide range of applications, but its access is limited. Multi-exposure image fusion techniques have been widely concerned because they can obtain images similar to HDR images. In order to solve the detail loss of multi-
Ke Xu +3 more
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Earth Sciences Research Journal, 2019 With the successful launch of China’s GF series satellites, it is more important to study the image data quality, the adaptability of processing method and information extraction method. The panchromatic and multi-spectral data which is based on the GF-2
Jintong Ren +6 more
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Xibei Gongye Daxue Xuebao, 2021 To overcome the shortcomings of traditional image fusion algorithms based on multiscale transform, an infrared and visible image fusion method based on compound decomposition and intuitionistic fuzzy set is proposed.
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Context Aware Multisensor Image Fusion for Military Sensor Networks using Multi Agent System
, 2011 This paper proposes a Context Aware Agent based Military Sensor Network (CAMSN) to form an improved infrastructure for multi-sensor image fusion. It considers contexts driven by a node and sink.
Manvi, Sunilkumar S, Sutagundar, Ashok V
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Hybrid ultrasound imaging techniques (fusion imaging)
World Journal of Gastroenterology, 2011 Visualization of tumor angiogenesis can facilitate non-invasive evaluation of tumor vascular characteristics to supplement the conventional diagnostic imaging goals of depicting tumor location, size, and morphology. Hybrid imaging techniques combine anatomic [ultrasound, computed tomography (CT), and/or magnetic resonance imaging (MRI)] and molecular ...
Adrian Saftoiu +3 more
openaire +3 more sources