public abstract class ImplSelectRectStandardBase_F32<T extends boofcv.struct.image.ImageGray> extends SelectRectStandard<float[],T>
Implementation of SelectRectStandard as a base class for arrays of type F32.
Extend for different output image types.
DO NOT MODIFY. Generated by GenerateSelectRectStandardBase.
| Modifier and Type | Field and Description |
|---|---|
protected float |
textureThreshold |
imageDisparity, invalidDisparity, localMax, maxDisparity, maxError, minDisparity, radiusX, rangeDisparity, regionWidth, rightToLeftTolerance| Constructor and Description |
|---|
ImplSelectRectStandardBase_F32(int maxError,
int rightToLeftTolerance,
double texture) |
| Modifier and Type | Method and Description |
|---|---|
void |
configure(T imageDisparity,
int minDisparity,
int maxDisparity,
int radiusX)
Specifies the output and algorithmic configuration.
|
void |
process(int row,
float[] scores)
Processes the array of scores.
|
void |
setTexture(double threshold) |
maxDisparityAtColumnL2R, setDisparity, setLocalMaxclone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitgetDisparityTypepublic ImplSelectRectStandardBase_F32(int maxError,
int rightToLeftTolerance,
double texture)
public void setTexture(double threshold)
setTexture in class SelectRectStandard<float[],T extends boofcv.struct.image.ImageGray>public void configure(T imageDisparity, int minDisparity, int maxDisparity, int radiusX)
DisparitySelectconfigure in interface DisparitySelect<float[],T extends boofcv.struct.image.ImageGray>configure in class SelectRectStandard<float[],T extends boofcv.struct.image.ImageGray>imageDisparity - Output disparity image.minDisparity - Minimum disparity that can be computedmaxDisparity - Maximum disparity that is calculatedradiusX - Radius of the rectangular region being matched along x-axis.public void process(int row,
float[] scores)
DisparitySelectDisparityScoreSadRect. The results are written directly into the
disparity image passed to it in DisparitySelect.configure(ImageGray, int, int, int).row - Image row the scores are from.scores - Array containing scores. (int[] or float[])