Example usage for org.opencv.imgproc Imgproc cornerSubPix

List of usage examples for org.opencv.imgproc Imgproc cornerSubPix

Introduction

In this page you can find the example usage for org.opencv.imgproc Imgproc cornerSubPix.

Prototype

public static void cornerSubPix(Mat image, Mat corners, Size winSize, Size zeroZone, TermCriteria criteria) 

Source Link

Usage

From source file:com.shootoff.camera.autocalibration.AutoCalibrationManager.java

License:Open Source License

public Optional<MatOfPoint2f> findChessboard(Mat mat) {
    //Mat grayImage = new Mat();

    //Imgproc.cvtColor(mat, grayImage, Imgproc.COLOR_BGR2GRAY);

    Mat grayImage = mat;/*from ww  w . j  a va2 s  . c  o m*/

    MatOfPoint2f imageCorners = new MatOfPoint2f();

    boolean found = Calib3d.findChessboardCorners(grayImage, boardSize, imageCorners,
            Calib3d.CALIB_CB_NORMALIZE_IMAGE + Calib3d.CALIB_CB_ADAPTIVE_THRESH);

    logger.trace("found {}", found);

    if (found) {
        // optimization
        Imgproc.cornerSubPix(grayImage, imageCorners, new Size(1, 1), new Size(-1, -1), term);

        return Optional.of(imageCorners);
    }
    return Optional.empty();
}

From source file:org.usfirst.frc.team2084.CMonster2016.vision.CameraCalibration.java

License:Open Source License

/**
 * Draws checkerboard corners on an image.
 * //  w w  w .  j a  v a 2s  . c  o m
 * @param image the image to process
 * @param addToCalibration if true, add this image to the corner list
 */
public void process(Mat image, boolean addToCalibration) {
    boolean patternFound = Calib3d.findChessboardCorners(image, boardSize, boardCorners,
            Calib3d.CALIB_CB_ADAPTIVE_THRESH | Calib3d.CALIB_CB_NORMALIZE_IMAGE | Calib3d.CALIB_CB_FAST_CHECK);

    if (patternFound) {
        // Refine corner positions to be more accurate
        Imgproc.cvtColor(image, grayImage, Imgproc.COLOR_BGR2GRAY);
        Imgproc.cornerSubPix(grayImage, boardCorners, new Size(6, 6), new Size(-1, -1),
                new TermCriteria(TermCriteria.EPS + TermCriteria.COUNT, 30, 0.1));

        if (addToCalibration) {
            calibrationCorners.add(boardCorners);
        }

    }

    image.copyTo(boardImage);
    Calib3d.drawChessboardCorners(boardImage, boardSize, boardCorners, patternFound);

    if (!addToCalibration) {
        debugImage("Board", boardImage);
    }

    Imgproc.undistort(image, undistortImage, cameraMatrix, distCoeffs);

    undistortImage.copyTo(image);

    Imgproc.putText(image, "Error: " + error, new Point(20, 20), Core.FONT_HERSHEY_PLAIN, 1.5,
            new Scalar(0, 255, 0));
}

From source file:org.usfirst.frc.team2084.CMonster2016.vision.Target.java

License:Open Source License

/**
 * Creates a new possible target based on the specified blob and calculates
 * its score./*from   w w w .j  ava  2  s  .  co m*/
 *
 * @param p the shape of the possible target
 */
public Target(MatOfPoint contour, Mat grayImage) {
    // Simplify contour to make the corner finding algorithm work better
    MatOfPoint2f fContour = new MatOfPoint2f();
    contour.convertTo(fContour, CvType.CV_32F);
    Imgproc.approxPolyDP(fContour, fContour, VisionParameters.getGoalApproxPolyEpsilon(), true);
    fContour.convertTo(contour, CvType.CV_32S);

    this.contour = contour;

    // Check area, and don't do any calculations if it is not valid
    if (validArea = validateArea()) {

        // Find a bounding rectangle
        RotatedRect rect = Imgproc.minAreaRect(fContour);

        Point[] rectPoints = new Point[4];
        rect.points(rectPoints);

        for (int j = 0; j < rectPoints.length; j++) {
            Point rectPoint = rectPoints[j];

            double minDistance = Double.MAX_VALUE;
            Point point = null;

            for (int i = 0; i < contour.rows(); i++) {
                Point contourPoint = new Point(contour.get(i, 0));
                double dist = distance(rectPoint, contourPoint);
                if (dist < minDistance) {
                    minDistance = dist;
                    point = contourPoint;
                }
            }

            rectPoints[j] = point;
        }
        MatOfPoint2f rectMat = new MatOfPoint2f(rectPoints);
        // Refine the corners to improve accuracy
        Imgproc.cornerSubPix(grayImage, rectMat, new Size(4, 10), new Size(-1, -1),
                new TermCriteria(TermCriteria.EPS + TermCriteria.COUNT, 30, 0.1));
        rectPoints = rectMat.toArray();

        // Identify each corner
        SortedMap<Double, List<Point>> x = new TreeMap<>();
        Arrays.stream(rectPoints).forEach((p) -> {
            List<Point> points;
            if ((points = x.get(p.x)) == null) {
                x.put(p.x, points = new LinkedList<>());
            }
            points.add(p);
        });

        int i = 0;
        for (Iterator<List<Point>> it = x.values().iterator(); it.hasNext();) {
            List<Point> s = it.next();

            for (Point p : s) {
                switch (i) {
                case 0:
                    topLeft = p;
                    break;
                case 1:
                    bottomLeft = p;
                    break;
                case 2:
                    topRight = p;
                    break;
                case 3:
                    bottomRight = p;
                }
                i++;
            }
        }

        // Organize corners
        if (topLeft.y > bottomLeft.y) {
            Point p = bottomLeft;
            bottomLeft = topLeft;
            topLeft = p;
        }

        if (topRight.y > bottomRight.y) {
            Point p = bottomRight;
            bottomRight = topRight;
            topRight = p;
        }

        // Create corners for centroid calculation
        corners = new MatOfPoint2f(rectPoints);

        // Calculate center
        Moments moments = Imgproc.moments(corners);
        center = new Point(moments.m10 / moments.m00, moments.m01 / moments.m00);

        // Put the points in the correct order for solvePNP
        rectPoints[0] = topLeft;
        rectPoints[1] = topRight;
        rectPoints[2] = bottomLeft;
        rectPoints[3] = bottomRight;
        // Recreate corners in the new order
        corners = new MatOfPoint2f(rectPoints);

        widthTop = distance(topLeft, topRight);
        widthBottom = distance(bottomLeft, bottomRight);
        width = (widthTop + widthBottom) / 2.0;
        heightLeft = distance(topLeft, bottomLeft);
        heightRight = distance(topRight, bottomRight);
        height = (heightLeft + heightRight) / 2.0;

        Mat tvec = new Mat();

        // Calculate target's location
        Calib3d.solvePnP(OBJECT_POINTS, corners, CAMERA_MAT, DISTORTION_MAT, rotation, tvec, false,
                Calib3d.CV_P3P);

        // =======================================
        // Position and Orientation Transformation
        // =======================================

        double armAngle = VisionResults.getArmAngle();

        // Flip y axis to point upward
        Core.multiply(tvec, SIGN_NORMALIZATION_MATRIX, tvec);

        // Shift origin to arm pivot point, on the robot's centerline
        CoordinateMath.translate(tvec, CAMERA_X_OFFSET, CAMERA_Y_OFFSET, ARM_LENGTH);

        // Align axes with ground
        CoordinateMath.rotateX(tvec, -armAngle);
        Core.add(rotation, new MatOfDouble(armAngle, 0, 0), rotation);

        // Shift origin to robot center of rotation
        CoordinateMath.translate(tvec, 0, ARM_PIVOT_Y_OFFSET, -ARM_PIVOT_Z_OFFSET);

        double xPosFeet = tvec.get(0, 0)[0];
        double yPosFeet = tvec.get(1, 0)[0];
        double zPosFeet = tvec.get(2, 0)[0];

        // Old less effective aiming heading and distance calculation
        // double pixelsToFeet = TARGET_WIDTH / width;

        // distance = (TARGET_WIDTH * HighGoalProcessor.IMAGE_SIZE.width
        // / (2 * width ** Math.tan(VisionParameters.getFOVAngle() / 2)));
        // double xPosFeet = (center.x - (HighGoalProcessor.IMAGE_SIZE.width
        // / 2)) * pixelsToFeet;
        // double yPosFeet = -(center.y -
        // (HighGoalProcessor.IMAGE_SIZE.height / 2)) * pixelsToFeet;

        distance = Math.sqrt(xPosFeet * xPosFeet + zPosFeet * zPosFeet);

        position = new Point3(xPosFeet, yPosFeet, zPosFeet);

        xGoalAngle = Math.atan(xPosFeet / zPosFeet);
        yGoalAngle = Math.atan(yPosFeet / zPosFeet);

        validate();
        score = calculateScore();
    } else {
        valid = false;
    }
}