What's new in Fluere 1.3
Jan 11, 2012
- A new version of Fluere has been released, featuring a number of algorithm improvements such as predictor filtering via second-order regression filtering, Gaussian window weighting, and window bias error correction. Additionally, ensemble correlation and multiframe processing modes have been added. Derivative calculation has also been improved using central differencing and second-order derivative calculation.
New in Fluere 0.9 (Jan 11, 2012)
- A new version of Fluere has been released which features a large number of improvements, including new and faster algorithms for image deformation and image calibration. A new "consecutive" image processing mode has been added to help with sequenced image data rather than paired image data. Also, autocorrelation support has been fully implemented. The validations in the manual have also been greatly expanded. Lastly, a number of bug fixes and enhancements have been made throughout the program.
New in Fluere 0.8 (Jan 11, 2012)
- A new version of Fluere has been released which features improvements in predictor filtering to enhance the spatial resolution of the result, and improvements in the image masking to prevent masked regions from biasing the correlation. Also new for this version is the addition of two widely used image preprocessing routines: intensity capping and min-max filtering.
New in Fluere 0.7 (Jan 11, 2012)
- A new version of Fluere has been released which features a number of GUI improvements, an improvement to the vector validation/replacement algorithm, and brings multi-threading to the correlation processing, resulting in performance improvements of around 20% for multi-core systems.
New in Fluere 0.6 (Jun 24, 2011)
- Increased speed for image deformation, reduced bias errors for image deformation, and can be built with fewer external dependencies. Fluere now only requires FFTW to be built.
New in Fluere 0.5 (Jun 24, 2011)
- A new version of Fluere has been released incorporating an image deformation scheme based on Whittaker interpolation. Expect much improved performance in regions of substantial velocity gradients.