Image processing refers specifically to:
- Reconstruction of images from projections;
- Segmentation of images from reconstructions;
- Extraction of information from the segmentations and / or reconstructions.
Classes (1) and (2) contain a finite set of specific sub-operations in image processing, which contribute to the better performance in the analysis of data generated in LNLS. Usually, (2) is a consequence of (1), but not exclusively; being (3) one of the main objectives of an experimental imaging process. It is understood that the extraction of information from data generated in the beamlines is crucial to the success of the facilities.
The cycle of fundamental operations of a beamline, integrated to the scientific computation and within the network topology specified to the Laboratory is presented below:
Currently, the operations follow $\rm A \rightarrow C$ with the subsequent processing being performed by $\rm C \rightarrow D$, where (A) is a fixed, but arbitrary, beamline. For the new synchrotron light source, Sirius, the focus on high performance is idealized in operations $\rm A \rightarrow B \rightarrow C$, with high local processing performance at (B), within the beamline. Further processing will be done within the $\rm C \leftrightarrow D$ pipeline. Network topology connections are designed at 100 Gb/s to accelerate access and flow of measured data.