Java Code Examples for org.opencv.core.Core.minMaxLoc()

The following are Jave code examples for showing how to use minMaxLoc() of the org.opencv.core.Core class. You can vote up the examples you like. Your votes will be used in our system to get more good examples.
Example 1
Project: FlashLib   File: CvTemplateMatcher.java   Source Code and License Vote up 8 votes
public MatchResult match(Mat scene, Mat templ, Method method, Mat img) {
	
	int result_cols = scene.cols() - templ.cols() + 1;
	int result_rows = scene.rows() - templ.rows() + 1;
	Mat result = new Mat(result_rows, result_cols, CV_32FC1);
	Imgproc.matchTemplate(scene, templ, result, method.ordinal());
	//Core.normalize(result, result, 0, 1, 32,-1,new Mat());
		
	MinMaxLocResult mmr = Core.minMaxLoc(result);

	
	Point matchLoc;
	double maxVal;
	if (method.ordinal() == Imgproc.TM_SQDIFF
	        || method.ordinal() == Imgproc.TM_SQDIFF_NORMED) {
	    
		matchLoc = mmr.minLoc;
		maxVal = mmr.minVal;
	}
	else {
	    matchLoc = mmr.maxLoc;
	    maxVal = mmr.maxVal;
	}
	
	MatchResult currResult = new MatchResult(matchLoc.x +(templ.cols()/2),matchLoc.y +(templ.rows()/2),0,maxVal);
	return currResult;
}
 
Example 2
Project: Auto.js   File: TemplateMatching.java   Source Code and License Vote up 7 votes
public static Pair<Point, Double> getBestMatched(Mat tmResult, int matchMethod, float threshold) {
    TimingLogger logger = new TimingLogger(LOG_TAG, "best_matched_point");
    // FIXME: 2017/11/26 正交化?
    //   Core.normalize(tmResult, tmResult, 0, 1, Core.NORM_MINMAX, -1, new Mat());
    Core.MinMaxLocResult mmr = Core.minMaxLoc(tmResult);
    logger.addSplit("minMaxLoc");
    double value;
    Point pos;
    if (matchMethod == Imgproc.TM_SQDIFF || matchMethod == Imgproc.TM_SQDIFF_NORMED) {
        pos = mmr.minLoc;
        value = -mmr.minVal;
    } else {
        pos = mmr.maxLoc;
        value = mmr.maxVal;
    }
    logger.addSplit("value:" + value);
    logger.dumpToLog();
    return new Pair<>(pos, value);
}
 
Example 3
Project: OptimizedImageEnhance   File: ALTMRetinex.java   Source Code and License Vote up 6 votes
private static List<Mat> globalAdaptation(Mat b, Mat g, Mat r, int rows, int cols) {
	// Calculate Lw & maximum of Lw
	Mat Lw = new Mat(rows, cols, r.type());
	Core.multiply(r, new Scalar(rParam), r);
	Core.multiply(g, new Scalar(gParam), g);
	Core.multiply(b, new Scalar(bParam), b);
	Core.add(r, g, Lw);
	Core.add(Lw, b, Lw);
	double LwMax = Core.minMaxLoc(Lw).maxVal; // the maximum luminance value
	// Calculate log-average luminance and get global adaptation result
	Mat Lw_ = Lw.clone();
	Core.add(Lw_, new Scalar(0.001), Lw_);
	Core.log(Lw_, Lw_);
	double LwAver = Math.exp(Core.sumElems(Lw_).val[0] / (rows * cols));
	Mat Lg = Lw.clone();
	Core.divide(Lg, new Scalar(LwAver), Lg);
	Core.add(Lg, new Scalar(1.0), Lg);
	Core.log(Lg, Lg);
	Core.divide(Lg, new Scalar(Math.log(LwMax / LwAver + 1.0)), Lg); // Lg is the global adaptation
	List<Mat> list = new ArrayList<>();
	list.add(Lw);
	list.add(Lg);
	return list;
}
 
Example 4
Project: opentest   File: ImageFinder.java   Source Code and License Vote up 6 votes
private ImageFinderResult findImage(Mat sourceMat, Mat templateMat, double desiredAccuracy) {
    if (sourceMat.width() < templateMat.width() || sourceMat.height() < templateMat.height()) {
        throw new UnsupportedOperationException("The template image is larger than the source image. Ensure that the width and/or height of the image you are trying to find do not exceed the dimensions of the source image.");
    }

    Mat result = new Mat(sourceMat.rows() - templateMat.rows() + 1, sourceMat.rows() - templateMat.rows() + 1, CvType.CV_32FC1);
    int intMatchingMethod;

    switch (this.matchingMethod) {
        case MM_CORELLATION_COEFF:
            intMatchingMethod = Imgproc.TM_CCOEFF_NORMED;
            break;
        case MM_CROSS_CORELLATION:
            intMatchingMethod = Imgproc.TM_CCORR_NORMED;
            break;
        default:
            intMatchingMethod = Imgproc.TM_SQDIFF_NORMED;
    }

    Imgproc.matchTemplate(sourceMat, templateMat, result, intMatchingMethod);
    MinMaxLocResult minMaxLocRes = Core.minMaxLoc(result);

    double accuracy = 0;
    Point location = null;

    if (this.matchingMethod == MatchingMethod.MM_SQUARE_DIFFERENCE) {
        accuracy = 1 - minMaxLocRes.minVal;
        location = minMaxLocRes.minLoc;
    } else {
        accuracy = minMaxLocRes.maxVal;
        location = minMaxLocRes.maxLoc;
    }

    if (accuracy < desiredAccuracy) {
        throw new ImageNotFoundException(
                String.format(
                        "Failed to find template image in the source image. The accuracy was %.2f and the desired accuracy was %.2f",
                        accuracy,
                        desiredAccuracy),
                new Rectangle((int) location.x, (int) location.y, templateMat.width(), templateMat.height()),
                accuracy);
    }

    if (!minMaxLocResultIsValid(minMaxLocRes)) {
        throw new ImageNotFoundException(
                "Image find result (MinMaxLocResult) was invalid. This usually happens when the source image is covered in one solid color.",
                null,
                null);
    }

    Rectangle foundRect = new Rectangle(
            (int) location.x,
            (int) location.y,
            templateMat.width(),
            templateMat.height());

    return new ImageFinderResult(foundRect, accuracy);
}
 
Example 5
Project: Image-Detection-Samples   File: EyesDetectionInteractorImpl.java   Source Code and License Vote up 5 votes
/**
 * <p>Build a template from a specific eye area previously substracted
 * uses detectMultiScale for this area, then uses minMaxLoc method to
 * detect iris from the detected eye</p>
 *
 * @param area Preformatted Area
 * @param size minimum iris size
 * @param grayMat image in gray
 * @param rgbaMat image in color
 * @param detectorEye Haar Cascade classifier
 * @return built template
 */
@NonNull
private static Mat buildTemplate(Rect area, final int size,
                                 @NonNull Mat grayMat,
                                 @NonNull Mat rgbaMat,
                                 CascadeClassifier detectorEye) {
    Mat template = new Mat();
    Mat graySubMatEye = grayMat.submat(area);
    MatOfRect eyes = new MatOfRect();
    Rect eyeTemplate;
    detectorEye.detectMultiScale(graySubMatEye, eyes, 1.15, 2,
            Objdetect.CASCADE_FIND_BIGGEST_OBJECT
                    | Objdetect.CASCADE_SCALE_IMAGE, new Size(EYE_MIN_SIZE, EYE_MIN_SIZE),
            new Size());

    Rect[] eyesArray = eyes.toArray();
    if (eyesArray.length > 0) {
        Rect e = eyesArray[0];
        e.x = area.x + e.x;
        e.y = area.y + e.y;
        Rect eyeRectangle = getEyeArea((int) e.tl().x,
                (int) (e.tl().y + e.height * 0.4),
                e.width,
                (int) (e.height * 0.6));
        graySubMatEye = grayMat.submat(eyeRectangle);
        Mat rgbaMatEye = rgbaMat.submat(eyeRectangle);


        Core.MinMaxLocResult minMaxLoc = Core.minMaxLoc(graySubMatEye);

        FaceDrawerOpenCV.drawIrisCircle(rgbaMatEye, minMaxLoc);
        Point iris = new Point();
        iris.x = minMaxLoc.minLoc.x + eyeRectangle.x;
        iris.y = minMaxLoc.minLoc.y + eyeRectangle.y;
        eyeTemplate = getEyeArea((int) iris.x - size / 2,
                (int) iris.y
                        - size / 2, size, size);
        FaceDrawerOpenCV.drawEyeRectangle(eyeTemplate, rgbaMat);
        template = (grayMat.submat(eyeTemplate)).clone();
    }
    return template;
}
 
Example 6
Project: OptimizedImageEnhance   File: ALTMRetinex.java   Source Code and License Vote up 5 votes
@SuppressWarnings("unused")
private static Mat adjustment(Mat alpha, double a) {
	double b = Core.minMaxLoc(alpha).maxVal;
	int rows = alpha.rows();
	int cols = alpha.cols();
	for (int i = 0; i < rows; i++) {
		for (int j = 0; j < cols; j++) {
			//double val = alpha.get(i, j)[0];
			alpha.put(i, j, (2 * Math.atan(a * alpha.get(i, j)[0] / b) / Math.PI * b));
		}
	}
	return alpha;
}