boofcv.alg.shapes.edge

Class PolygonEdgeScore<T extends boofcv.struct.image.ImageSingleBand>

java.lang.Object

boofcv.alg.shapes.edge.PolygonEdgeScore<T>

public class PolygonEdgeScore<T extends boofcv.struct.image.ImageSingleBand>
extends java.lang.Object

Looks at the difference in pixel values along the edge of a polygon and decides if its a false positive or not. The average difference along the polygons edge is the score. Note that the abs is only taken after the sum is finished, so objects which are entirely dark/light along the edge will have an advantage.

Constructor Summary

Constructors

Constructor and Description
PolygonEdgeScore(double cornerOffset, double tangentDistance, int numSamples, double thresholdScore, java.lang.Class<T> imageType) Constructor which configures scoring.

Method Summary

Modifier and Type	Method and Description
double	getAverageEdgeIntensity()
double	getCornerOffset()
double	getTangentDistance()
double	getThresholdScore()
void	setCornerOffset(double cornerOffset)
void	setImage(T image) Sets the image which is going to be processed.
void	setTangentDistance(double tangentDistance)
void	setThresholdScore(double thresholdScore)
void	setTransform(boofcv.struct.distort.PixelTransform_F32 undistToDist) Used to specify a transform that is applied to pixel coordinates to bring them back into original input image coordinates.
boolean	validate(georegression.struct.shapes.Polygon2D_F64 polygon) Checks to see if its a valid polygon or a false positive by looking at edge intensity

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

PolygonEdgeScore

public PolygonEdgeScore(double cornerOffset,
                        double tangentDistance,
                        int numSamples,
                        double thresholdScore,
                        java.lang.Class<T> imageType)

Constructor which configures scoring.

Parameters:

cornerOffset - Number of pixels away from corner it will start sampling

tangentDistance - How far from the line it will sample tangentially

numSamples - Number of points it will sample along an edge

thresholdScore - Minimum edge score.

imageType - Type of image it will process

Method Detail

setTransform

public void setTransform(boofcv.struct.distort.PixelTransform_F32 undistToDist)

Used to specify a transform that is applied to pixel coordinates to bring them back into original input image coordinates. For example if the input image has lens distortion but the edge were found in undistorted coordinates this code needs to know how to go from undistorted back into distorted image coordinates in order to read the pixel's value.

Parameters:

undistToDist - Pixel transformation from undistorted pixels into the actual distorted input image..

setImage

public void setImage(T image)

Sets the image which is going to be processed.

validate

public boolean validate(georegression.struct.shapes.Polygon2D_F64 polygon)

Checks to see if its a valid polygon or a false positive by looking at edge intensity

Parameters:

polygon - The polygon being tested

Returns:

true for valid or false for invalid

getCornerOffset

public double getCornerOffset()

setCornerOffset

public void setCornerOffset(double cornerOffset)

getTangentDistance

public double getTangentDistance()

setTangentDistance

public void setTangentDistance(double tangentDistance)

getThresholdScore

public double getThresholdScore()

setThresholdScore

public void setThresholdScore(double thresholdScore)

getAverageEdgeIntensity

public double getAverageEdgeIntensity()