boofcv.alg.fiducial.calib.grid

Class DetectSquareGridFiducial<T extends boofcv.struct.image.ImageGray<T>>

java.lang.Object

boofcv.alg.fiducial.calib.grid.DetectSquareGridFiducial<T>

public class DetectSquareGridFiducial<T extends boofcv.struct.image.ImageGray<T>>
extends java.lang.Object

Detect a square grid calibration target and returns the corner points of each square. This calibration grid is specified by a set of squares which are organized in a grid pattern. All squares are the same size. The entire grid must be visible. Space between the squares is specified as a ratio of the square size. The grid will be oriented so that returned points are in counter clockwise (CCW) ordering, which appears to be CW in the image.

There is also always at least two solutions to the ordering. For sake of consistency it will select the orientation where index 0 is the closest to the origin.

Example of a 4 by 3 grid (row then column).

Constructor Summary

Constructors

Constructor and Description
DetectSquareGridFiducial(int numRows, int numCols, double spaceToSquareRatio, boofcv.abst.filter.binary.InputToBinary<T> inputToBinary, boofcv.alg.shapes.polygon.DetectPolygonBinaryGrayRefine<T> detectorSquare) COnfigures the detector

Method Summary

Modifier and Type	Method and Description
boofcv.struct.image.GrayU8	getBinary()
int	getCalibrationCols()
java.util.List<georegression.struct.point.Point2D_F64>	getCalibrationPoints()
int	getCalibrationRows()
java.util.List<java.util.List<SquareNode>>	getClusters()
int	getColumns()
boofcv.alg.shapes.polygon.DetectPolygonBinaryGrayRefine<T>	getDetectorSquare()
SquareRegularClustersIntoGrids	getGrids()
int	getRows()
SquaresIntoRegularClusters	getSquaresIntoClusters()
boolean	process(T image) Process the image and detect the calibration target

Methods inherited from class java.lang.Object

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

Constructor Detail

DetectSquareGridFiducial

public DetectSquareGridFiducial(int numRows,
                                int numCols,
                                double spaceToSquareRatio,
                                boofcv.abst.filter.binary.InputToBinary<T> inputToBinary,
                                boofcv.alg.shapes.polygon.DetectPolygonBinaryGrayRefine<T> detectorSquare)

COnfigures the detector

Parameters:

numRows - Number of black squares in the grid rows

numCols - Number of black squares in the grid columns

spaceToSquareRatio - Ratio of spacing between the squares and the squares width

inputToBinary - Converts input image into a binary image

detectorSquare - Detects the squares in the image. Must be configured to detect squares

Method Detail

process

public boolean process(T image)

Process the image and detect the calibration target

Parameters:

image - Input image

Returns:

true if a calibration target was found and false if not

getCalibrationPoints

public java.util.List<georegression.struct.point.Point2D_F64> getCalibrationPoints()

getCalibrationRows

public int getCalibrationRows()

getCalibrationCols

public int getCalibrationCols()

getDetectorSquare

public boofcv.alg.shapes.polygon.DetectPolygonBinaryGrayRefine<T> getDetectorSquare()

getClusters

public java.util.List<java.util.List<SquareNode>> getClusters()

getSquaresIntoClusters

public SquaresIntoRegularClusters getSquaresIntoClusters()

getGrids

public SquareRegularClustersIntoGrids getGrids()

getBinary

public boofcv.struct.image.GrayU8 getBinary()

getColumns

public int getColumns()

getRows

public int getRows()