Example usage for org.opencv.imgproc Imgproc LINE_AA

Introduction

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

Prototype

int LINE_AA

To view the source code for org.opencv.imgproc Imgproc LINE_AA.

Click Source Link

Usage

From source file:org.akvo.caddisfly.sensor.colorimetry.strip.util.ResultUtil.java

License:Open Source License

/**
 * Create a Mat to show the point at which the matched color occurs.
 *
 * @param colors        the range of colors
 * @param result        the result//from w  w w  .  j ava 2 s.c  om
 * @param colorDetected the colors extracted from the patch
 * @param width         the width of the mat to be returned
 * @return the Mat with the point or arrow drawn
 */
@NonNull
public static Mat createValueMeasuredMatSingle(@NonNull JSONArray colors, double result,
        @NonNull ColorDetected colorDetected, int width) {

    Mat mat = new Mat(MEASURE_LINE_HEIGHT, width, CvType.CV_8UC3, LAB_WHITE);
    double xTranslate = (double) width / (double) colors.length();

    try {
        // determine where the circle should be placed
        for (int d = 0; d < colors.length(); d++) {

            double nextValue = colors.getJSONObject(Math.min(d + 1, colors.length() - 1))
                    .getDouble(SensorConstants.VALUE);

            if (result <= nextValue) {

                Scalar resultColor = colorDetected.getLab();
                double value = colors.getJSONObject(d).getDouble(SensorConstants.VALUE);

                //calculate number of pixels needed to translate in x direction
                double transX = xTranslate * ((result - value) / (nextValue - value));
                double left = xTranslate * d;
                double right = left + xTranslate - X_MARGIN;

                Point circleCenter = new Point(Math.max(10d, left + (right - left) / 2 + transX),
                        SINGLE_MEASURE_LINE_TOP_MARGIN);

                MatOfPoint matOfPoint = new MatOfPoint(
                        new Point((circleCenter.x - ARROW_TRIANGLE_LENGTH),
                                circleCenter.y + ARROW_TRIANGLE_LENGTH - 2),
                        new Point((circleCenter.x + ARROW_TRIANGLE_LENGTH),
                                circleCenter.y + ARROW_TRIANGLE_LENGTH - 2),
                        new Point(circleCenter.x, (circleCenter.y + ARROW_TRIANGLE_LENGTH * 2) - 2),
                        new Point((circleCenter.x - ARROW_TRIANGLE_LENGTH),
                                circleCenter.y + ARROW_TRIANGLE_LENGTH - 2));

                Imgproc.fillConvexPoly(mat, matOfPoint, resultColor);

                Imgproc.circle(mat, circleCenter, CIRCLE_RADIUS, resultColor, -1, Imgproc.LINE_AA, 0);

                break;
            }
        }
    } catch (JSONException e) {
        Timber.e(e);
    }

    return mat;
}

---

From source file:org.akvo.caddisfly.sensor.colorimetry.strip.util.ResultUtil.java

License:Open Source License

/**
 * Create a Mat to show the point at which the matched color occurs for group patch test.
 *
 * @param colors         the range of colors
 * @param result         the result//from   www  .  j  a v  a2  s  . c  o  m
 * @param colorsDetected the colors extracted from the patch
 * @param width          the width of the mat to be returned
 * @return the Mat with the point or arrow drawn
 */
@NonNull
public static Mat createValueMeasuredMatGroup(@NonNull JSONArray colors, double result,
        @NonNull ColorDetected[] colorsDetected, int width) {
    int height = COLOR_INDICATOR_SIZE * colorsDetected.length;
    Mat valueMeasuredMat = new Mat(height, width, CvType.CV_8UC3, LAB_WHITE);
    double xTranslate = (double) width / (double) colors.length();

    try {

        // determine where the circle should be placed
        for (int d = 0; d < colors.length(); d++) {

            double nextValue = colors.getJSONObject(Math.min(d + 1, colors.length() - 1))
                    .getDouble(SensorConstants.VALUE);

            Scalar resultColor = null;
            if (result < nextValue) {

                double value = colors.getJSONObject(d).getDouble(SensorConstants.VALUE);

                //calculate number of pixels needed to translate in x direction
                double transX = xTranslate * ((result - value) / (nextValue - value));

                double left = xTranslate * d;
                double right = left + xTranslate - X_MARGIN;
                Point point = (transX) + xTranslate * d < X_MARGIN
                        ? new Point(X_MARGIN, MEASURE_LINE_TOP_MARGIN)
                        : new Point(left + (right - left) / 2 + transX, MEASURE_LINE_TOP_MARGIN);

                double offset = 5;
                for (ColorDetected aColorsDetected : colorsDetected) {
                    resultColor = aColorsDetected.getLab();

                    Imgproc.rectangle(valueMeasuredMat,
                            new Point(point.x - ARROW_TRIANGLE_LENGTH, point.y + offset),
                            new Point(point.x + ARROW_TRIANGLE_LENGTH,
                                    point.y + (ARROW_TRIANGLE_LENGTH * 2) + offset),
                            resultColor, -1, Imgproc.LINE_AA, 0);

                    offset += 2 * ARROW_TRIANGLE_LENGTH;
                }

                MatOfPoint matOfPoint = new MatOfPoint(
                        new Point((point.x - ARROW_TRIANGLE_LENGTH), point.y + offset),
                        new Point((point.x + ARROW_TRIANGLE_LENGTH), point.y + offset),
                        new Point(point.x, point.y + ARROW_TRIANGLE_LENGTH + offset),
                        new Point((point.x - ARROW_TRIANGLE_LENGTH), point.y + offset));

                Imgproc.fillConvexPoly(valueMeasuredMat, matOfPoint, resultColor);

                break;
            }
        }
    } catch (JSONException e) {
        Timber.e(e);
    }

    return valueMeasuredMat;
}

---