List of usage examples for org.opencv.core Core bitwise_not
public static void bitwise_not(Mat src, Mat dst)
From source file:Questao1.java
void not() { System.loadLibrary(Core.NATIVE_LIBRARY_NAME); imagemBinaria();// w w w . j a v a2 s . c o m Core.bitwise_not(image2bin, output); normalizarBinario(); Imgcodecs.imwrite("not.jpg", output); showResult("not.jpg"); }
From source file:arlocros.Utils.java
License:Apache License
static public Mat tresholdContrastBlackWhite(Mat srcImage, int filterBlockSize, double subtractedConstant, boolean invertBlackWhiteColor) { final Mat transformMat = new Mat(1, 3, CvType.CV_32F); final int row = 0; final int col = 0; transformMat.put(row, col, 0.33, 0.33, 0.34); final Mat grayImage = new Mat(srcImage.height(), srcImage.width(), CvType.CV_8UC1); Core.transform(srcImage, grayImage, transformMat); Mat thresholdedImage = new Mat(grayImage.height(), grayImage.width(), CvType.CV_8UC1); Imgproc.adaptiveThreshold(grayImage, thresholdedImage, 255, Imgproc.ADAPTIVE_THRESH_MEAN_C, Imgproc.THRESH_BINARY, filterBlockSize, subtractedConstant); grayImage.release();//from w ww .j av a 2 s . c o m if (invertBlackWhiteColor) { final Mat invertedImage = new Mat(thresholdedImage.height(), thresholdedImage.width(), CvType.CV_8UC1); Core.bitwise_not(thresholdedImage, invertedImage); thresholdedImage.release(); thresholdedImage = invertedImage; } final Mat coloredImage = new Mat(thresholdedImage.height(), thresholdedImage.width(), CvType.CV_8UC3); Imgproc.cvtColor(thresholdedImage, coloredImage, Imgproc.COLOR_GRAY2RGB); thresholdedImage.release(); return coloredImage; }
From source file:com.astrocytes.core.operationsengine.CoreOperations.java
License:Open Source License
/** * Invert image.//from w ww.jav a2 s . co m * * @param src - source image. * @return inverted image. */ public static Mat invert(Mat src) { Mat dest = new Mat(); Core.bitwise_not(src, dest); return dest; }
From source file:com.compta.firstak.notedefrais.MainActivity.java
public void Opencv(String imageName) { bitmap = BitmapFactory.decodeFile(imageName); Mat imageMat = new Mat(); org.opencv.android.Utils.bitmapToMat(bitmap, imageMat); Imgproc.cvtColor(imageMat, imageMat, Imgproc.COLOR_BGR2GRAY); // 1) Apply gaussian blur to remove noise Imgproc.GaussianBlur(imageMat, imageMat, new Size(9, 9), 0); // 2) AdaptiveThreshold -> classify as either black or white Imgproc.adaptiveThreshold(imageMat, imageMat, 255, Imgproc.ADAPTIVE_THRESH_MEAN_C, Imgproc.THRESH_BINARY, 5, 2);//from w w w . ja va 2 s . c om // 3) Invert the image -> so most of the image is black Core.bitwise_not(imageMat, imageMat); // 4) Dilate -> fill the image using the MORPH_DILATE Mat kernel = Imgproc.getStructuringElement(Imgproc.MORPH_DILATE, new Size(3, 3), new Point(1, 1)); Imgproc.dilate(imageMat, imageMat, kernel); org.opencv.android.Utils.matToBitmap(imageMat, bitmap); mImageViewer.setImageBitmap(bitmap); ByteArrayOutputStream stream1 = new ByteArrayOutputStream(); bitmap.compress(Bitmap.CompressFormat.PNG, 100, stream1); byteArray = stream1.toByteArray(); }
From source file:com.sikulix.core.Finder.java
License:Open Source License
private Mat doFindMatch(Element target, Mat base, Mat probe) { if (SX.isNull(probe)) { probe = target.getContent();//from ww w .j av a2s . c o m } Mat result = new Mat(); Mat plainBase = base; Mat plainProbe = probe; if (!target.isPlainColor()) { Imgproc.matchTemplate(base, probe, result, Imgproc.TM_CCOEFF_NORMED); } else { if (target.isBlack()) { Core.bitwise_not(base, plainBase); Core.bitwise_not(probe, plainProbe); } Imgproc.matchTemplate(plainBase, plainProbe, result, Imgproc.TM_SQDIFF_NORMED); Core.subtract(Mat.ones(result.size(), CvType.CV_32F), result, result); } return result; }
From source file:ctPrincipal.Operacoes.java
String realizarOperacoes(int op) { String resultImgOutput = ""; switch (op) { case 1://and imagemBinaria();/* w w w .j a v a2s .co m*/ Core.bitwise_and(image1bin, image2bin, output); normalizarBinario(); Imgcodecs.imwrite("OutputImg/and.jpg", output); resultImgOutput = "OutputImg/and.jpg"; break; case 2://or imagemBinaria(); Core.bitwise_or(image1bin, image2bin, output); normalizarBinario(); Imgcodecs.imwrite("OutputImg/or.jpg", output); resultImgOutput = "OutputImg/or.jpg"; break; case 3://xor imagemBinaria(); Core.bitwise_xor(image1bin, image2bin, output); normalizarBinario(); Imgcodecs.imwrite("OutputImg/xor.jpg", output); resultImgOutput = "OutputImg/xor.jpg"; break; case 4://not Core.bitwise_not(image1bin, output); Imgcodecs.imwrite("OutputImg/not.jpg", output); resultImgOutput = "OutputImg/not.jpg"; break; case 5://soma Core.add(image1, image2, output); Imgcodecs.imwrite("OutputImg/soma.jpg", output); resultImgOutput = "OutputImg/soma.jpg"; break; case 6://subtracao Core.subtract(image1, image2, output); Imgcodecs.imwrite("OutputImg/subtracao.jpg", output); resultImgOutput = "OutputImg/subtracao.jpg"; break; case 7:// multiplicacao Core.multiply(image1, image2, output); Imgcodecs.imwrite("OutputImg/multiplicacao.jpg", output); resultImgOutput = "OutputImg/multiplicacao.jpg"; break; case 8://divisao Core.divide(image1, image2, output); Imgcodecs.imwrite("OutputImg/divisao.jpg", output); resultImgOutput = "OutputImg/divisao.jpg"; break; } return resultImgOutput; }
From source file:gab.opencv.OpenCV.java
License:Open Source License
/** * Invert the image./*from w w w . j a v a 2 s .c o m*/ * See: http://docs.opencv.org/java/org/opencv/core/Core.html#bitwise_not(org.opencv.core.Mat, org.opencv.core.Mat) * */ public void invert() { Core.bitwise_not(getCurrentMat(), getCurrentMat()); }
From source file:gab.opencv.OpenCVProcessingUtils.java
License:Open Source License
public void invert() { Core.bitwise_not(getCurrentMat(), getCurrentMat()); }
From source file:karthik.Barcode.MatrixBarcode.java
License:Open Source License
private void calcHistograms() { /* calculate histogram by masking for angles inside each bin, thresholding to set all those values to 1 and then creating an integral image. We can now calculate histograms for any size tile within the original image more efficiently than by using the built in calcHist method which would have to recalculate the histogram for every tile size. */// w ww . j a va 2 s .c o m Mat target; angles = img_details.gradient_direction.clone(); target = img_details.temp_integral; for (int binRange = 1, integralIndex = 0; binRange < 181; binRange += img_details.BIN_WIDTH, integralIndex++) { target.setTo(ZERO_SCALAR); img_details.gradient_direction.copyTo(angles); Core.inRange(img_details.gradient_direction, scalarDict.get(binRange), scalarDict.get(binRange + img_details.BIN_WIDTH), mask); Core.bitwise_not(mask, mask); angles.setTo(ZERO_SCALAR, mask); Imgproc.threshold(angles, target, 0, 1, Imgproc.THRESH_BINARY); Imgproc.integral(target, target); target.get(0, 0, img_details.histIntegralArrays[integralIndex]); } // there is some problem if the created integral image does not have exactly one channel assert (target.channels() == 1) : "Integral does not have exactly one channel"; }
From source file:org.sikuli.script.Finder.java
License:MIT License
private Mat doFindMatch(Probe probe, Mat base, Mat target) { Mat res = new Mat(); Mat bi = new Mat(); Mat pi = new Mat(); if (!probe.img.isPlainColor()) { Imgproc.matchTemplate(base, target, res, Imgproc.TM_CCOEFF_NORMED); } else {// w w w.j a v a 2s . c o m if (probe.img.isBlack()) { Core.bitwise_not(base, bi); Core.bitwise_not(target, pi); } else { bi = base; pi = target; } Imgproc.matchTemplate(bi, pi, res, Imgproc.TM_SQDIFF_NORMED); Core.subtract(Mat.ones(res.size(), CvType.CV_32F), res, res); } return res; }