Sentence examples for image acquisition model from inspiring English sources
By making certain assumptions in the image acquisition model, this approach becomes straightforward and easy to implement.
However, the radius of the circular feature does not represent an equivalent radius of the sphere due to the viewing angle, ζ. Figure 5 Real world image acquisition model.
In Section 2, we describe the image acquisition modeling and basic concept of the dynamic SR process using the Kalman filter framework.
Among the many different image acquisition models, the following linear dynamic model is the most general and well represents the process of obtaining an LR image sequence: X ( t ) = M ( t ) X ( t - 1 ) + U ( t ), (1) Y ( t ) = D B X ( t ) + W ( t ).
Based on the sparse representation model and hyperspectral image acquisition process model, small patches of hyperspectral observations from different wavelengths can be represented as weighted linear combinations of a small number of atoms in pre-trained dictionary.
The results were analyzed using the image acquisition system, model Gel-Doc EZ (Bio-Rad Laboratories Inc).. Real-time PCR was performed using the TaqMan Universal PCR Master Mix Applied Biosystemss, USA).
The image acquisition process, modelled by a finite state machine, was implemented in LabVIEW to control the spectral imaging system to collect hyperspectral or multispectral images.
A comprehensive QA process from image acquisition to completed model has been developed.
Since most of the liquid nitrogen stored in the cryo-holder Dewar spilled out when tilting at 90°, the image acquisition in FM model should be finished within 30 min to prevent warming up the specimen.
17 Even utilising this flushing technique in this animal model, the image acquisition time was limited to only a few seconds, preventing pull-back imaging of long arterial segments.
As longitudinal and multi-site studies become increasingly frequent in neuroimaging, maintaining longitudinal and inter-scanner consistency of brain parcellation has become a major challenge due to variation in scanner models and/or image acquisition protocols across scanners and sites.
