| Name |
Short Name |
Type |
Description |
| Select dx kernel |
Kerdx |
string |
Row kernel for differentiation in x. Kernel defined in Preferences. Or use Savitzky-Golay below. |
| Select dy kernel |
Kerdy |
string |
Column kernel for differentiation in y. Kernel defined in Preferences. Or use Savitzky-Golay below. |
| Select dt kernel |
Kerdt |
string |
Column kernel for differentiation in t. Kernel defined in Preferences. Or use Savitzky-Golay below. |
| Average results for dt width |
AverageOFdtWidth |
boolean |
Calculates Optical Flow using spatial derivatives of each frame of the temporal differentiation kernel, and then take the average. |
| Block mode |
blockmode |
boolean |
Optical flow is calculated within consecutive blocks, each block has same number of frames as the dt kernel.
Each block results one OF image. If disabled then Optical flow calculation is continuous, like a running differentiation.
Must be disabled when using in Multi-Dimensional Load. |
| SG kernel for dx,dy width |
SGxyWidth |
integer |
Width of spatial Savitzky-Golay 1st derivative kernel |
| SG kernel for dx,dy order |
SGxyOrder |
integer |
Order of spatial Savitzky-Golay 1st derivative kernel |
| SG kernel for smooth width |
SGsmoothWidth |
integer |
Width of smooth Savitzky-Golay 0th derivative kernel |
| SG kernel for smooth order |
SGsmoothOrder |
integer |
Order of smooth Savitzky-Golay 0th derivative kernel |
| SG kernel for dt width |
SGtWidth |
integer |
Width of temporal Savitzky-Golay 1st derivative kernel |
| SG kernel for dt order |
SGtOrder |
integer |
Order of temporal Savitzky-Golay 1st derivative kernel |
| Aperture kernel size |
ApertureSize |
integer |
Optical flow is calculated within this sized neighborhood. |
| Aperture kernel shape |
ApertureShape |
string |
Optical flow is calculated within this shaped neighborhood. |
| Correct for bias by noise |
CorrectNoiseBias |
boolean |
|
| Correct low noisy gradients in time |
CorrectT |
boolean |
|
| Enforce constraints on gradients in space |
EliminateXY |
boolean |
|
| Variance factor for time constraint |
VarianceFactorCorrectionTime |
real |
|
| Variance factor for bias |
VarianceFactorCorrectionBias |
real |
|
| Variance factor for constraint 1 |
VarianceFactorConstraint1 |
real |
|
| Variance factor for constraint 2 |
VarianceFactorConstraint2 |
real |
|
| Detector offset |
DetectorOffset |
real |
Intensity measured in darkness, see "Sensor Noise Characteristics" |
| Detector variance vs. intensity Slope |
DetectorNoiseSlope |
real |
Slope of noise diagram, see "Sensor Noise Characteristics" |
| Detector Read out Variance |
DetectorReadOutNoise |
real |
Variance measured in darkness, see "Sensor Noise Characteristics" |
| Pixel size |
PixelSize |
real |
Results are multiplied with this value. |
| Output as Absolute value of vectors |
OutputAbs |
boolean |
Absolute velocity image is calculated. |
| Output as X and Y components of vectors |
OutputXY |
boolean |
X and Y vector component images are calculated. |
| Output as Absolute value of Projected Vectors |
OutputProjAbs |
boolean |
Radial - anterograde/retrograde velocity image is calculated. Needs a projection point ROI below. |
| Projection ROI |
ProjectionROI |
integer |
Center point ROI for radial projection. |
| Correct whole image drift |
OutputProjAbs |
boolean |
Sets the mean of X and Y component images to zero, then calculates absolute image. Warning: this works properly only if Correct noisy gradients in time is set to no! |
| Reject image if drift is larger than |
RejectDrift |
real |
If the calibrated mean vector of whole image is larger than this value, it is assumed to be caused by drift and the whole image will be masked. |
Functions
Glossary
