public class DetectLineHoughFoot<I extends ImageSingleBand,D extends ImageSingleBand> extends Object implements DetectLine<I>
Full processing chain for detecting lines using a foot of norm parametrization inside a Hough transform.
USAGE NOTES: Blurring the image prior to processing can often improve performance. Results will not be perfect and to detect all the obvious lines in the image several false positives might be returned.
HoughTransformLineFootOfNorm| Constructor and Description |
|---|
DetectLineHoughFoot(int localMaxRadius,
int minCounts,
int minDistanceFromOrigin,
float thresholdEdge,
int maxLines,
ImageGradient<I,D> gradient)
Specifies detection parameters.
|
| Modifier and Type | Method and Description |
|---|---|
List<georegression.struct.line.LineParametric2D_F32> |
detect(I input)
Detect lines inside the image.
|
ImageUInt8 |
getBinary() |
D |
getDerivX() |
D |
getDerivY() |
ImageFloat32 |
getEdgeIntensity() |
HoughTransformLineFootOfNorm |
getTransform() |
public DetectLineHoughFoot(int localMaxRadius,
int minCounts,
int minDistanceFromOrigin,
float thresholdEdge,
int maxLines,
ImageGradient<I,D> gradient)
localMaxRadius - Lines in transform space must be a local max in a region with this radius. Try 5;minCounts - Minimum number of counts/votes inside the transformed image. Try 5.minDistanceFromOrigin - Lines which are this close to the origin of the transformed image are ignored. Try 5.thresholdEdge - Threshold for classifying pixels as edge or not. Try 30.gradient - Computes the image gradient.public List<georegression.struct.line.LineParametric2D_F32> detect(I input)
DetectLinedetect in interface DetectLine<I extends ImageSingleBand>input - Input image.public HoughTransformLineFootOfNorm getTransform()
public D getDerivX()
public D getDerivY()
public ImageFloat32 getEdgeIntensity()
public ImageUInt8 getBinary()
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