@ -407,7 +407,7 @@ Once image information is cleaned, this channel acts as a high pass temporal fil
* **parasolCells_k** the spatial constant of the spatial filtering effect, set it at a high value to favor low spatial frequency signals that are lower subject to residual noise.
* **amacrinCellsTemporalCutFrequency** specifies the temporal constant of the high pass filter. High values let slow transient events to be selected.
* **amacrinCellsTemporalCutFrequency** specifies the temporal constant of the high pass filter. High values let slow transient events to be selected.
* **V0CompressionParameter** specifies the strength of the log compression. Similar behaviors to previous description but here it enforces sensitivity of transient events.
@ -40,7 +40,7 @@ The retina can be settled up with various parameters, by default, the retina can
const Mat getParvoRAW () const;// retreive original output buffers without any normalisation
// -> peripheral monochrome motion and events (transient information) channel
void getMagno (Mat &retinaOutput_magno);
void getMagnoRAW (Mat &retinaOutput_magno); // retreive original output buffers without any normalisation
void getMagnoRAW (Mat &retinaOutput_magno); // retreive original output buffers without any normalisation
const Mat getMagnoRAW () const;// retreive original output buffers without any normalisation
// reset retina buffers... equivalent to closing your eyes for some seconds
@ -209,7 +209,7 @@ Retina::getMagno
* a Mat, this output is rescaled for standard 8bits image processing use in OpenCV
* RAW methods actually return a 1D matrix (encoding is M1, M2,... Mn), this output is the original retina filter model output, without any quantification or rescaling.
* RAW methods actually return a 1D matrix (encoding is M1, M2,... Mn), this output is the original retina filter model output, without any quantification or rescaling.