List of usage examples for org.opencv.core Scalar Scalar
public Scalar(double v0, double v1, double v2)
From source file:classes.FloodFiller.java
public void fillFrom(Point seed, int lo, int up) { Scalar backgroundColor = new Scalar(255, 255, 255); // black background Scalar contourFillingColor = new Scalar(0, 0, 0); // white filled contour fillFrom(seed, lo, up, backgroundColor, contourFillingColor); backgroundColor = new Scalar(0, 0, 0); // white background contourFillingColor = new Scalar(255, 255, 255); // black filled contour fillFrom(seed, lo, up, backgroundColor, contourFillingColor); }
From source file:classes.FloodFiller.java
private void fillFrom(Point seed, int lo, int up, Scalar backgroundColor, Scalar contourFillingColor) { Mat object = ObjectGenerator.extract(image, seed.x, seed.y, 10, 10); this.meanColor = Core.mean(object); Rect ccomp = new Rect(); Mat mask = Mat.zeros(image.rows() + 2, image.cols() + 2, CvType.CV_8UC1); int connectivity = 4; int newMaskVal = 255; int ffillMode = 1; int flags = connectivity + (newMaskVal << 8) + (ffillMode == 1 ? Imgproc.FLOODFILL_FIXED_RANGE : 0); Scalar newVal = new Scalar(0.299, 0.587, 0.114); Imgproc.threshold(mask, mask, 1, 128, Imgproc.THRESH_BINARY); filledArea = Imgproc.floodFill(image.clone(), mask, seed, newVal, ccomp, new Scalar(lo, lo, lo), new Scalar(up, up, up), flags); // Highgui.imwrite("mask.png", mask); ImageUtils.saveImage(mask, "mask.png", request); morphologicalImage = new Mat(image.size(), CvType.CV_8UC3); Mat element = new Mat(3, 3, CvType.CV_8U, new Scalar(1)); ArrayList<Mat> mask3 = new ArrayList<Mat>(); mask3.add(mask);//from ww w . ja v a2 s .c o m mask3.add(mask); mask3.add(mask); Core.merge(mask3, mask); // Applying morphological filters Imgproc.erode(mask, morphologicalImage, element); Imgproc.morphologyEx(morphologicalImage, morphologicalImage, Imgproc.MORPH_CLOSE, element, new Point(-1, -1), 9); Imgproc.morphologyEx(morphologicalImage, morphologicalImage, Imgproc.MORPH_OPEN, element, new Point(-1, -1), 2); Imgproc.resize(morphologicalImage, morphologicalImage, image.size()); // Highgui.imwrite("morphologicalImage.png", morphologicalImage); ImageUtils.saveImage(morphologicalImage, "morphologicalImage.png", request); List<MatOfPoint> contours = new ArrayList<MatOfPoint>(); Core.split(mask, mask3); Mat binarymorphologicalImage = mask3.get(0); Imgproc.findContours(binarymorphologicalImage.clone(), contours, new Mat(), Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_NONE); contoursImage = new Mat(image.size(), CvType.CV_8UC3, backgroundColor); int thickness = -1; // Thicknes should be lower than zero in order to drawn the filled contours Imgproc.drawContours(contoursImage, contours, -1, contourFillingColor, thickness); // Drawing all the contours found // Highgui.imwrite("allContoursImage.png", contoursImage); ImageUtils.saveImage(contoursImage, "allContoursImage.png", request); if (contours.size() > 1) { int minContourWith = 20; int minContourHeight = 20; int maxContourWith = 6400 / 2; int maxContourHeight = 4800 / 2; contours = filterContours(contours, minContourWith, minContourHeight, maxContourWith, maxContourHeight); } if (contours.size() > 0) { MatOfPoint biggestContour = contours.get(0); // getting the biggest contour contourArea = Imgproc.contourArea(biggestContour); if (contours.size() > 1) { biggestContour = Collections.max(contours, new ContourComparator()); // getting the biggest contour in case there are more than one } Point[] points = biggestContour.toArray(); path = "M " + (int) points[0].x + " " + (int) points[0].y + " "; for (int i = 1; i < points.length; ++i) { Point v = points[i]; path += "L " + (int) v.x + " " + (int) v.y + " "; } path += "Z"; biggestContourImage = new Mat(image.size(), CvType.CV_8UC3, backgroundColor); Imgproc.drawContours(biggestContourImage, contours, 0, contourFillingColor, thickness); // Highgui.imwrite("biggestContourImage.png", biggestContourImage); ImageUtils.saveImage(biggestContourImage, "biggestContourImage.png", request); Mat maskForColorExtraction = biggestContourImage.clone(); if (isWhite(backgroundColor)) { Imgproc.dilate(maskForColorExtraction, maskForColorExtraction, new Mat(), new Point(-1, -1), 3); } else { Imgproc.erode(maskForColorExtraction, maskForColorExtraction, new Mat(), new Point(-1, -1), 3); } // Highgui.imwrite("maskForColorExtraction.png", maskForColorExtraction); ImageUtils.saveImage(maskForColorExtraction, "maskForColorExtraction.png", request); Mat extractedColor = new Mat(); if (isBlack(backgroundColor) && isWhite(contourFillingColor)) { Core.bitwise_and(maskForColorExtraction, image, extractedColor); } else { Core.bitwise_or(maskForColorExtraction, image, extractedColor); } // Highgui.imwrite("extractedColor.png", extractedColor); ImageUtils.saveImage(extractedColor, "extractedColor.png", request); computedSearchWindow = Imgproc.boundingRect(biggestContour); topLeftCorner = computedSearchWindow.tl(); Rect croppingRect = new Rect(computedSearchWindow.x, computedSearchWindow.y, computedSearchWindow.width - 1, computedSearchWindow.height - 1); Mat imageForTextRecognition = new Mat(extractedColor.clone(), croppingRect); // Highgui.imwrite(outImageName, imageForTextRecognition); ImageUtils.saveImage(imageForTextRecognition, outImageName, request); // // // Mat data = new Mat(imageForTextRecognition.size(), CvType.CV_8UC3, backgroundColor); // imageForTextRecognition.copyTo(data); // data.convertTo(data, CvType.CV_8UC3); // // // The meanColor variable represents the color in the GBR space, the following line transforms this to the RGB color space, which // // is assumed in the prepareImage method of the TextRecognitionPreparer class // Scalar userColor = new Scalar(meanColor.val[2], meanColor.val[1], meanColor.val[0]); // // ArrayList<String> recognizableImageNames = TextRecognitionPreparer.generateRecognizableImagesNames(data, backgroundColor, userColor); // for (String imageName : recognizableImageNames) { // // try { // // First recognition step // String recognizedText = TextRecognizer.recognize(imageName, true).trim(); // if (recognizedText != null && !recognizedText.isEmpty()) { // recognizedStrings.add(recognizedText); // } // // Second recognition step // recognizedText = TextRecognizer.recognize(imageName, false).trim(); // if (recognizedText != null && !recognizedText.isEmpty()) { // recognizedStrings.add(recognizedText); // } // // } catch (Exception e) { // } // } // //// ArrayList<BufferedImage> recognizableBufferedImages = TextRecognitionPreparer.generateRecognizableBufferedImages(data, backgroundColor, userColor); //// for (BufferedImage bufferedImage : recognizableBufferedImages) { //// try { //// // First recognition step //// String recognizedText = TextRecognizer.recognize(bufferedImage, true).trim(); //// if (recognizedText != null && !recognizedText.isEmpty()) { //// recognizedStrings.add(recognizedText); //// } //// // Second recognition step //// recognizedText = TextRecognizer.recognize(bufferedImage, false).trim(); //// if (recognizedText != null && !recognizedText.isEmpty()) { //// recognizedStrings.add(recognizedText); //// } //// //// } catch (Exception e) { //// } //// } // // // // compute all moments Moments mom = Imgproc.moments(biggestContour); massCenter = new Point(mom.get_m10() / mom.get_m00(), mom.get_m01() / mom.get_m00()); // draw black dot Core.circle(contoursImage, massCenter, 4, contourFillingColor, 8); } }
From source file:classes.FloodFillFacade.java
public Mat fill(Mat image, Mat mask, int x, int y, Scalar newVal) { Point seedPoint = new Point(x, y); Rect rect = new Rect(); // Scalar newVal = isColored() ? new Scalar(b, g, r) : new Scalar(r * 0.299 + g * 0.587 + b * 0.114); Scalar lowerDifference = new Scalar(lowerDiff, lowerDiff, lowerDiff); Scalar upperDifference = new Scalar(upperDiff, upperDiff, upperDiff); if (range == NULL_RANGE) { lowerDifference = new Scalar(0, 0, 0); upperDifference = new Scalar(0, 0, 0); }/*from w w w .j a v a 2s .com*/ int flags = connectivity + (newMaskVal << 8) + ((range == FIXED_RANGE ? Imgproc.FLOODFILL_FIXED_RANGE : 0) | 0);//Imgproc.FLOODFILL_MASK_ONLY); int area = 0; if (masked) { area = Imgproc.floodFill(image, mask, seedPoint, newVal, rect, lowerDifference, upperDifference, flags); } else { area = Imgproc.floodFill(image, new Mat(), seedPoint, newVal, rect, lowerDifference, upperDifference, flags); } // Highgui.imwrite("C:\\Users\\Gonzalo\\Documents\\NetBeansProjects\\iVoLVER\\uploads\\image_after_flood_" + cont + ".png", image); // Highgui.imwrite("C:\\Users\\Gonzalo\\Documents\\NetBeansProjects\\iVoLVER\\uploads\\mask_" + cont + ".png", mask); // System.out.println("area: " + area); cont++; return image; }
From source file:classes.ObjectFinder.java
private void computeObjectHistogram() { // Converting the current fram to HSV color space Mat hsvImage = new Mat(this.objectImage.size(), CvType.CV_8UC3); System.out.println(this.objectImage); Imgproc.cvtColor(this.objectImage, hsvImage, Imgproc.COLOR_BGR2HSV); // Getting the pixels that are in te specified ranges Mat maskImage = new Mat(this.objectImage.size(), CvType.CV_8UC1); int hmin = thresholdsVector.get(0); int hmax = thresholdsVector.get(1); int smin = thresholdsVector.get(2); int smax = thresholdsVector.get(3); int vmin = thresholdsVector.get(4); int vmax = thresholdsVector.get(5); Core.inRange(hsvImage, new Scalar(hmin, smin, vmin), new Scalar(hmax, smax, vmax), maskImage); Mat hueImage = new Mat(hsvImage.size(), CvType.CV_8UC1); MatOfInt fromto = new MatOfInt(0, 0); Core.mixChannels(Arrays.asList(hsvImage), Arrays.asList(hueImage), fromto); MatOfInt sizes = new MatOfInt(16); MatOfFloat ranges = new MatOfFloat(0, 180); MatOfInt channels = new MatOfInt(0); Mat histogram = new Mat(); boolean accumulate = false; Imgproc.calcHist(Arrays.asList(hueImage), channels, maskImage, histogram, sizes, ranges, accumulate); Highgui.imwrite("histogram.png", histogram); // The resulting histogram is normalized and placed in the class variable Core.normalize(histogram, objectHistogram, 0, 255, Core.NORM_MINMAX); }
From source file:classes.ObjectFinder.java
private void backprojectObjectHistogram() { // Converting the current fram to HSV color space Mat hsvImage = new Mat(this.objectImage.size(), CvType.CV_8UC3); Imgproc.cvtColor(this.inputFrame, hsvImage, Imgproc.COLOR_BGR2HSV); // Getting the pixels that are in te specified ranges int hmin = this.thresholdsVector.get(0); int hmax = this.thresholdsVector.get(1); int smin = this.thresholdsVector.get(2); int smax = this.thresholdsVector.get(3); int vmin = this.thresholdsVector.get(4); int vmax = this.thresholdsVector.get(5); Mat maskImage = new Mat(this.objectImage.size(), CvType.CV_8UC1); Core.inRange(hsvImage, new Scalar(hmin, smin, vmin), new Scalar(hmax, smax, vmax), maskImage); // Taking the hue channel of the image Mat hueImage = new Mat(hsvImage.size(), hsvImage.depth()); MatOfInt fromto = new MatOfInt(0, 0); Core.mixChannels(Arrays.asList(hsvImage), Arrays.asList(hueImage), fromto); // Backprojecting the histogram over that hue channel image MatOfFloat ranges = new MatOfFloat(0, 180); MatOfInt channels = new MatOfInt(0); Imgproc.calcBackProject(Arrays.asList(hueImage), channels, this.objectHistogram, this.backprojectionImage, ranges, 1);//from ww w.j av a2s .c om Core.bitwise_and(backprojectionImage, maskImage, backprojectionImage); }
From source file:classes.ObjectFinder.java
private void computeTrackBox() { trackBox = new RotatedRect(); if (computedSearchWindow.size().width > 0 && computedSearchWindow.size().height > 0 && computedSearchWindow.area() > 1) { trackBox = Video.CamShift(thresholdedBackprojection, computedSearchWindow, new TermCriteria(2 | 1, 10, 1)); }//from w w w. j ava 2 s. c o m if (trackBox.size.width > 0 && trackBox.size.height > 0 && trackBox.size.area() > 1) { Core.ellipse(inputFrame, trackBox, new Scalar(0, 0, 255), 2); } }
From source file:classes.ObjectFinder.java
private void drawOutput(Mat output) { Point center;/*from w w w . j av a2s . com*/ int fontFace = Core.FONT_HERSHEY_SIMPLEX; double fontScale = 0.7; int thickness = 1; Core.ellipse(output, trackBox, new Scalar(0, 0, 255), 2); center = new Point(trackBox.center.x, trackBox.center.y); System.out.println("center: " + center); Core.circle(output, center, 2, new Scalar(255, 0, 0), 2); Core.circle(output, massCenter, 2, new Scalar(0, 255, 0), 2); if (this.objectName != null) { Core.putText(output, getObjectName(), center, fontFace, fontScale, new Scalar(0, 0, 0), thickness, 8, false); } }
From source file:classes.TextRecognitionPreparer.java
public static ArrayList<String> generateRecognizableImagesNames(Mat img, Scalar userPickedColor, String imageID, HttpServletRequest request) {/* www .j a va 2 s . c o m*/ ArrayList<String> imageNames = new ArrayList<String>(); Mat filledImage = img.clone(); Scalar newVal = new Scalar(userPickedColor.val[2], userPickedColor.val[1], userPickedColor.val[0]); Imgproc.floodFill(filledImage, new Mat(), new Point(0, 0), newVal); String file1 = imageID + "_filledImage.png"; // Highgui.imwrite(file1, filledImage); imageNames.add(ImageUtils.saveImage(filledImage, file1, request)); Mat filledGrayImage = new Mat(); Imgproc.cvtColor(filledImage, filledGrayImage, Imgproc.COLOR_BGR2GRAY); String file2 = imageID + "_filledGrayImage.png"; // Highgui.imwrite(file2, filledGrayImage); imageNames.add(ImageUtils.saveImage(filledGrayImage, file2, request)); Mat gaussianGrayImage = new Mat(); Imgproc.GaussianBlur(filledGrayImage, gaussianGrayImage, new Size(0, 0), 3); Core.addWeighted(filledGrayImage, 3.5, gaussianGrayImage, -1, 0, gaussianGrayImage); String file3 = imageID + "_sharpenedImage.png"; // Highgui.imwrite(file3, gaussianGrayImage); imageNames.add(ImageUtils.saveImage(gaussianGrayImage, file3, request)); // Mat filledBinarizedImage2 = new Mat(); // Imgproc.adaptiveThreshold(filledGrayImage, filledBinarizedImage2, 255, Imgproc.ADAPTIVE_THRESH_MEAN_C, Imgproc.THRESH_BINARY, 75, 10); // String file5 = imageID + "_filledBinarizedImage2.png"; //// Highgui.imwrite(file11, filledBinarizedImage2); // imageNames.add(ImageUtils.saveImage(filledBinarizedImage2, file5)); // // Mat filledBinarizedImage1 = new Mat(); // Imgproc.adaptiveThreshold(filledGrayImage, filledBinarizedImage1, 255, Imgproc.ADAPTIVE_THRESH_MEAN_C, Imgproc.THRESH_BINARY, 15, 4); // String file4 = imageID + "_filledBinarizedImage1.png"; //// Highgui.imwrite(file4, filledBinarizedImage1); // imageNames.add(ImageUtils.saveImage(filledBinarizedImage1, file4)); return imageNames; }
From source file:classes.TextRecognitionPreparer.java
public static ArrayList<BufferedImage> generateRecognizableBufferedImages(Mat img, Scalar backgroundColor, Scalar userPickedColor) {// w w w . j a v a 2s . c o m ArrayList<BufferedImage> images = new ArrayList<BufferedImage>(); Mat filledImage = img.clone(); Scalar newVal = new Scalar(userPickedColor.val[2], userPickedColor.val[1], userPickedColor.val[0]); Imgproc.floodFill(filledImage, new Mat(), new Point(0, 0), newVal); images.add(Util.mat2Img(filledImage)); Mat filledGrayImage = new Mat(); Imgproc.cvtColor(filledImage, filledGrayImage, Imgproc.COLOR_BGR2GRAY); images.add(Util.mat2Img(filledGrayImage)); Mat gaussianGrayImage = new Mat(); Imgproc.GaussianBlur(filledGrayImage, gaussianGrayImage, new Size(0, 0), 3); Core.addWeighted(filledGrayImage, 3.5, gaussianGrayImage, -1, 0, gaussianGrayImage); images.add(Util.mat2Img(gaussianGrayImage)); Mat filledBinarizedImage2 = new Mat(); Imgproc.adaptiveThreshold(filledGrayImage, filledBinarizedImage2, 255, Imgproc.ADAPTIVE_THRESH_MEAN_C, Imgproc.THRESH_BINARY, 75, 10); images.add(Util.mat2Img(filledBinarizedImage2)); Mat filledBinarizedImage1 = new Mat(); Imgproc.adaptiveThreshold(filledGrayImage, filledBinarizedImage1, 255, Imgproc.ADAPTIVE_THRESH_MEAN_C, Imgproc.THRESH_BINARY, 15, 4); images.add(Util.mat2Img(filledBinarizedImage1)); return images; }
From source file:classes.TextRecognitionPreparer.java
public static ArrayList<Mat> generateRecognizableImages(Mat img, Scalar backgroundColor, Scalar userPickedColor) {//from w w w.ja v a 2 s. co m ArrayList<Mat> images = new ArrayList<Mat>(); Mat filledImage = img.clone(); Scalar newVal = new Scalar(userPickedColor.val[2], userPickedColor.val[1], userPickedColor.val[0]); Imgproc.floodFill(filledImage, new Mat(), new Point(0, 0), newVal); String file1 = "filledImage.png"; // Highgui.imwrite(file1, filledImage); images.add(filledImage); Mat filledGrayImage = new Mat(); Imgproc.cvtColor(filledImage, filledGrayImage, Imgproc.COLOR_BGR2GRAY); String file2 = "filledGrayImage.png"; // Highgui.imwrite(file2, filledGrayImage); images.add(filledGrayImage); Mat gaussianGrayImage = new Mat(); Imgproc.GaussianBlur(filledGrayImage, gaussianGrayImage, new Size(0, 0), 3); Core.addWeighted(filledGrayImage, 3.5, gaussianGrayImage, -1, 0, gaussianGrayImage); // Core.addWeighted(filledGrayImage, 2.5, gaussianGrayImage, -0.5, 0, gaussianGrayImage); String file3 = "sharpenedImage.png"; // Highgui.imwrite(file3, gaussianGrayImage); images.add(gaussianGrayImage); Mat filledBinarizedImage = new Mat(); Imgproc.adaptiveThreshold(filledGrayImage, filledBinarizedImage, 255, Imgproc.ADAPTIVE_THRESH_MEAN_C, Imgproc.THRESH_BINARY, 15, 4); String file4 = "filledBinarizedImage.png"; // Highgui.imwrite(file4, filledBinarizedImage); images.add(filledBinarizedImage); // BackgroundSubtractorMOG2 backgroundSubtractorMOG2 = new BackgroundSubtractorMOG2(); // Mat foregroundMask = new Mat(); // backgroundSubtractorMOG2.apply(img, foregroundMask); // Highgui.imwrite("mFGMask.png", foregroundMask); Scalar fillingColor = cluster(userPickedColor, img, 3); Mat replacedColor = replaceColor(img, backgroundColor, fillingColor); String file5 = "replacedColor.png"; // Highgui.imwrite(file5, replacedColor); images.add(replacedColor); Mat grayImage = new Mat(); Imgproc.cvtColor(replacedColor, grayImage, Imgproc.COLOR_BGR2GRAY); String file6 = "grayImage.png"; // Highgui.imwrite(file6, grayImage); images.add(grayImage); Mat binarized = new Mat(); Imgproc.adaptiveThreshold(grayImage, binarized, 255, Imgproc.ADAPTIVE_THRESH_MEAN_C, Imgproc.THRESH_BINARY, 15, 4); String file7 = "binarized.png"; // Highgui.imwrite(file7, binarized); images.add(binarized); Mat colorReplacedEqualized = equalizeIntensity(replacedColor); String file8 = "colorReplacedEqualized.png"; // Highgui.imwrite(file8, colorReplacedEqualized); images.add(colorReplacedEqualized); Mat colorReducedImage = reduceColor(replacedColor, 64); String file9 = "replacedColorColorReduced.png"; // Highgui.imwrite(file9, colorReducedImage); images.add(colorReducedImage); // Equalizing image Mat colorReducedEqualized = equalizeIntensity(colorReducedImage); String file10 = "colorReducedEqualized.png"; // Highgui.imwrite(file10, colorReducedEqualized); images.add(colorReducedEqualized); return images; }