Examples with BinaryContourFinder boofcv.abst.filter.binary.BinaryContourFinder used on opensource projects

Example 6 with BinaryContourFinder

use of boofcv.abst.filter.binary.BinaryContourFinder in project BoofCV by lessthanoptimal.

the class BaseDetectFiducialSquare method configureContourDetector.

/**
 * Configures the contour detector based on the image size. Setting a maximum contour and turning off recording
 * of inner contours and improve speed and reduce the memory foot print significantly.
 */
private void configureContourDetector(T gray) {
    // determine the maximum possible size of a square based on image size
    int maxContourSize = Math.min(gray.width, gray.height) * 4;
    BinaryContourFinder contourFinder = squareDetector.getDetector().getContourFinder();
    contourFinder.setMaxContour(maxContourSize);
    contourFinder.setSaveInnerContour(false);
}

Example 7 with BinaryContourFinder

use of boofcv.abst.filter.binary.BinaryContourFinder in project BoofCV by lessthanoptimal.

the class DetectSquareGridFiducial method configureContourDetector.

/**
 * Configures the contour detector based on the image size. Setting a maximum contour and turning off recording
 * of inner contours and improve speed and reduce the memory foot print significantly.
 */
private void configureContourDetector(T gray) {
    // determine the maximum possible size of a square when viewed head on
    // this doesn't take in account the spacing between squares and will be an over estimate
    int maxContourSize = Math.max(gray.width, gray.height) / Math.max(numCols, numRows);
    BinaryContourFinder contourFinder = detectorSquare.getDetector().getContourFinder();
    contourFinder.setMaxContour(maxContourSize * 4 * 2);
    contourFinder.setSaveInnerContour(false);
}

Example 8 with BinaryContourFinder

use of boofcv.abst.filter.binary.BinaryContourFinder in project BoofCV by lessthanoptimal.

the class BinaryImageOps method contour.

/**
 * <p>
 * Given a binary image, connect together pixels to form blobs/clusters using the specified connectivity rule.
 * The found blobs will be labeled in an output image and also described as a set of contours.  Pixels
 * in the contours are consecutive order in a clockwise or counter-clockwise direction, depending on the
 * implementation.  The labeled image will assign background pixels a label of 0 and each blob will be
 * assigned a unique ID starting from 1.
 * </p>
 *
 * <p>
 * The returned contours are traces of the object.  The trace of an object can be found by marking a point
 * with a pen and then marking every point on the contour without removing the pen.  It is possible to have
 * the same point multiple times in the contour.
 * </p>
 *
 * @see LinearContourLabelChang2004
 *
 * @param input Input binary image.  Not modified.
 * @param rule Connectivity rule.  Can be 4 or 8.  8 is more commonly used.
 * @param output (Optional) Output labeled image. If null, an image will be declared internally.  Modified.
 * @return List of found contours for each blob.
 */
public static List<Contour> contour(GrayU8 input, ConnectRule rule, GrayS32 output) {
    if (output == null) {
        output = new GrayS32(input.width, input.height);
    } else {
        InputSanityCheck.checkSameShape(input, output);
    }
    BinaryContourFinder alg = FactoryBinaryContourFinder.linearChang2004();
    alg.setConnectRule(rule);
    alg.process(input, output);
    return convertContours(alg);
}

Example 9 with BinaryContourFinder

use of boofcv.abst.filter.binary.BinaryContourFinder in project BoofCV by lessthanoptimal.

the class DetectCircleRegularGrid method configureContourDetector.

@Override
protected void configureContourDetector(T gray) {
    // overestimate the max diameter by not taking in account space between the circles
    int diameter = Math.max(gray.width, gray.height) / Math.max(numCols, numRows);
    BinaryContourFinder contourFinder = ellipseDetector.getEllipseDetector().getContourFinder();
    contourFinder.setMaxContour((int) (Math.PI * diameter) * 2);
    contourFinder.setSaveInnerContour(false);
}