boofcv.alg.feature.detect.edge

Class HysteresisEdgeTracePoints

java.lang.Object

boofcv.alg.feature.detect.edge.HysteresisEdgeTracePoints

public class HysteresisEdgeTracePoints
extends java.lang.Object

Given the output from edge non-maximum suppression, perform hysteresis threshold along the edge and constructs a list of pixels belonging to each contour. Points are first connected in direction tangential to the edge's direction, if no matches are found then a match is searched for using an 8-connect rule. The direction image must be the 4-direction type. If multiple points in the local neighborhood can be added to edge then a new edge segment is created.

Field Summary

Fields

Modifier and Type	Field and Description
static float	MARK_TRAVERSED

Constructor Summary

Constructors

Constructor and Description
HysteresisEdgeTracePoints()

Method Summary

Modifier and Type	Method and Description
java.util.List<EdgeContour>	getContours() Returns the found contours.
void	process(GrayF32 intensity, GrayS8 direction, float lower, float upper) Performs hysteresis thresholding using the provided lower and upper thresholds.

Methods inherited from class java.lang.Object

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

Field Detail

MARK_TRAVERSED

public static final float MARK_TRAVERSED

See Also:

Constant Field Values

Constructor Detail

HysteresisEdgeTracePoints

public HysteresisEdgeTracePoints()

Method Detail

process

public void process(GrayF32 intensity,
                    GrayS8 direction,
                    float lower,
                    float upper)

Performs hysteresis thresholding using the provided lower and upper thresholds.

Parameters:

intensity - Intensity image after edge non-maximum suppression has been applied. Modified.

direction - 4-direction image. Not modified.

lower - Lower threshold.

upper - Upper threshold.

getContours

public java.util.List<EdgeContour> getContours()

Returns the found contours. Returned data structures are subject to modification next time process is called.

Returns:

List of found contours.