Results 1 to 10 of about 3,396,344 (245)

Triangle-Mesh-Rasterization-Projection (TMRP): An Algorithm to Project a Point Cloud onto a Consistent, Dense and Accurate 2D Raster Image

Sensors, 2023
The projection of a point cloud onto a 2D camera image is relevant in the case of various image analysis and enhancement tasks, e.g., (i) in multimodal image processing for data fusion, (ii) in robotic applications and in scene analysis, and (iii) for ...
Christina Junger, Benjamin Buch, Gunther Notni   +2 more
doaj   +1 more source

Investigations on the potential application of machine vision lenses for depth measurement by exploiting chromatic aberrations

Measurement: Sensors, 2022
Chromatic (spectral) aberrations are image imperfections that are disadvantageous for standard image processing tasks and are typically compensated through the application of different types of glass during lens design.
Robin Horn, Maik Rosenberger, Andrei Golomoz, Richard Fütterer, Paul-Gerald Dittrich, Rico Nestler, Gunther Notni   +6 more
doaj   +1 more source

Interactive robot teaching based on finger trajectory using multimodal RGB-D-T-data

Frontiers in Robotics and AI, 2023
The concept of Industry 4.0 brings the change of industry manufacturing patterns that become more efficient and more flexible. In response to this tendency, an efficient robot teaching approach without complex programming has become a popular research ...
Yan Zhang, Richard Fütterer, Gunther Notni, Gunther Notni   +3 more
doaj   +1 more source

Characterisation of a FPGA-based multi-view stereo system with linear measuring arrangement

Measurement: Sensors, 2021
In recent years, stereoscopic image processing algorithms have gained importance for a variety of applications. To capture larger measurement volumes, multiple stereo systems are combined into a multi-view stereo system (MVS).
Christina Junger, Richard Fütterer, Maik Rosenberger, Gunther Notni   +3 more
doaj   +1 more source

FPGA-based multi-view stereo system with flexible measurement setup

Measurement: Sensors, 2022
In recent years, stereoscopic image processing algorithms have gained importance for a variety of applications. To capture larger measurement volumes, multiple stereo systems are combined into a multi-view stereo (MVS) system.
Christina Junger, Richard Fütterer, Maik Rosenberger, Gunther Notni   +3 more
doaj   +1 more source

Pytorch Image Quality: Metrics for Image Quality Assessment

SSRN Electronic Journal, 2022
20 pages with appendix; 4 ...
Kastryulin, Sergey, Zakirov, Jamil, Prokopenko, Denis, Dylov, Dmitry V.   +3 more
openaire   +2 more sources

Image Quality in Mammography [PDF]

Radiology, 1977
Image quality in mammography is affected by the shape, size, and x-ray absorption properties of the anatomic part or lesion to be radiographed in addition to x-ray beam quality, geometric unsharpness, and the resolution, characteristic curve, and noise properties of the recording system.
Haus, A. G., Doi, K., Metz, C. E., Bernstein, J.   +3 more
openaire   +3 more sources

Point Cloud Hand–Object Segmentation Using Multimodal Imaging with Thermal and Color Data for Safe Robotic Object Handover

Sensors, 2021
This paper presents an application of neural networks operating on multimodal 3D data (3D point cloud, RGB, thermal) to effectively and precisely segment human hands and objects held in hand to realize a safe human–robot object handover.
Yan Zhang, Steffen Müller, Benedict Stephan, Horst-Michael Gross, Gunther Notni   +4 more
doaj   +1 more source

Feasibility and accuracy of coronary artery calcium score on virtual non-contrast images derived from a dual-layer spectral detector CT: A retrospective multicenter study

Frontiers in Cardiovascular Medicine, 2023
Rationale and objectiveThis retrospective study was to evaluate the feasibility and accuracy of coronary artery calcium score (CACS) from virtual non-contrast (VNC) images in comparison with that from true non-contrast (TNC) images.Materials and methodsA
Panpan Yang, Panpan Yang, Ren Zhao, Wei Deng, Wei Deng, Shutian An, Shutian An, Yuguo Li, Yuguo Li, Mao Sheng, Xingbiao Chen, Yingfeng Qian, Yingfeng Qian, Yongqiang Yu, Yongqiang Yu, Dan Mu, Yining Wang, Xiaohu Li, Xiaohu Li   +18 more
doaj   +1 more source

The Use of Datasets of Bad Quality Images to Define Fundus Image Quality [PDF]

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022
Screening programs for sight-threatening diseases rely on the grading of a large number of digital retinal images. As automatic image grading technology evolves, there emerges a need to provide a rigorous definition of image quality with reference to the grading task.
Menolotto, Matteo, Giardini, Mario E.
openaire   +4 more sources