Example usage for org.opencv.core Mat put

Introduction

In this page you can find the example usage for org.opencv.core Mat put.

Prototype

public int put(int row, int col, byte[] data) 

Source Link

Usage

From source file:com.astrocytes.core.operationsengine.OperationsImpl.java

License:Open Source License

private void detectLayers() {
    Mat equalizedImage = CoreOperations.invert(CoreOperations.equalize(sourceImage));

    int halfColumnWidth = 50;
    Mat density = new Mat(equalizedImage.rows(), equalizedImage.cols(), CvType.CV_32F);
    int rows = density.rows();
    int cols = density.cols();

    // > 1 min
    for (int i = 0; i < rows; i++) {
        double p;
        int leftBoundInterval, rightBoundInterval, intervalLength;
        for (int j = 0; j < cols; j++) {
            p = 0.0;//  w  w w . j  av a2  s. com
            leftBoundInterval = Math.max(j - halfColumnWidth, 0);
            rightBoundInterval = Math.min(cols - 1, j + halfColumnWidth);
            intervalLength = rightBoundInterval - leftBoundInterval + 1;

            for (int s = leftBoundInterval; s <= rightBoundInterval; s++) {
                p += equalizedImage.get(i, s)[0];
            }

            density.put(i, j, p / intervalLength);
        }
    }

    //3 seconds
    for (int j = 0; j < cols; j++) {
        double intensity = 0.0;

        for (int i = 0; i < rows; i++) {
            intensity += density.get(i, j)[0];
        }

        for (int i = 0; i < rows; i++) {
            density.put(i, j, density.get(i, j)[0] / intensity);
        }
    }

    double ndlAverage = 1.0 / (double) rows;

    layerBounds = new Mat(6, cols, CvType.CV_32F);
    double k1 = 0.56E-4;
    double k2 = 1.3E-4;

    /*float[] data = new float[density.rows() * (int) density.elemSize()];
    density.get(0, 10, data);*/

    Mat upperBoundExact = new Mat(1, cols, CvType.CV_32F);
    Mat lowerBoundExact = new Mat(1, cols, CvType.CV_32F);

    for (int j = 0; j < cols; j++) {
        int upperBound = 0;
        int lowerBound = 0;

        for (int i = 0; i < rows; i++) {
            if (density.get(i, j)[0] > ndlAverage + k1) {
                upperBound = i;
                break;
            }
        }
        for (int i = rows - 1; i >= 0; i--) {
            if (density.get(i, j)[0] > ndlAverage + k2) {
                lowerBound = i;
                break;
            }
        }

        upperBoundExact.put(0, j, upperBound);
        lowerBoundExact.put(0, j, lowerBound);
    }

    //moving average for bounds
    int movingAverage = 300;
    for (int i = 0; i < upperBoundExact.cols(); i++) {
        int leftBoundInterval = Math.max(i - movingAverage, 0);
        int rightBoundInterval = Math.min(cols - 1, i + movingAverage);
        int intervalLength = rightBoundInterval - leftBoundInterval + 1;
        int upperBoundAverage = 0;
        int lowerBoundAverage = 0;

        for (int j = leftBoundInterval; j <= rightBoundInterval; j++) {
            upperBoundAverage += upperBoundExact.get(0, j)[0];
            lowerBoundAverage += lowerBoundExact.get(0, j)[0];
        }

        upperBoundAverage /= intervalLength;
        lowerBoundAverage /= intervalLength;
        int columnHeight = lowerBoundAverage - upperBoundAverage;
        layerBounds.put(0, i, upperBoundAverage);
        for (int h = 1; h < 5; h++) {
            layerBounds.put(h, i, upperBoundAverage + BRODMANN_COEFFS[h - 1] * columnHeight);
        }
        layerBounds.put(5, i, lowerBoundAverage);
    }
}

---

From source file:com.carver.paul.truesight.ImageRecognition.RecognitionModel.java

License:Open Source License

private static void adjustXPosOfLines(Mat lines, int xPosAdjustment) {
    if (xPosAdjustment == 0)
        return;/*w w  w .  jav a 2 s.c  o  m*/

    for (int i = 0; i < lines.rows(); i++) {
        double[] line = lines.get(i, 0);
        line[0] += xPosAdjustment;
        line[2] += xPosAdjustment;
        lines.put(i, 0, line);
    }
}

---

From source file:com.example.yannic.remotefacedetection.agent.FaceDetectionAgent.java

License:Open Source License

public static Mat bufferedImageToMat(BufferedImage bi) {
    Mat mat = new Mat(bi.getHeight(), bi.getWidth(), CvType.CV_8UC3);
    byte[] data = ((DataBufferByte) bi.getRaster().getDataBuffer()).getData();
    mat.put(0, 0, data);
    return mat;//from   w w w . j  a v  a2  s . c  o  m
}

---

From source file:com.github.rosjava_catkin_package_a.ARLocROS.Utils.java

License:Apache License

static public void tresholdContrastBlackWhite(Mat image2, double d) {
    int width = image2.width();
    int height = image2.height();
    for (int i = 0; i < width; i++)
        for (int j = 0; j < height; j++) {
            double[] rgb = image2.get(j, i);
            double[] rgbnew = new double[rgb.length];
            if (rgb[0] + rgb[1] + rgb[2] < d)
                rgbnew[0] = rgbnew[1] = rgbnew[2] = 0.0;
            else/*from w w  w  . ja  v  a2  s . c om*/
                rgbnew[0] = rgbnew[1] = rgbnew[2] = 255.0;
            image2.put(j, i, rgbnew);
        }
}

---

From source file:com.ibm.streamsx.edgevideo.device.edgent.JsonMat.java

License:Open Source License

private static Mat base64MimeDecodeMat(int width, int height, int type, String base64MimeMatStr) {
    // java.utils.Base64 since 1.8, otherwise use Apache Commons
    Decoder decoder = Base64.getMimeDecoder();
    byte[] sourcePixels = decoder.decode(base64MimeMatStr);

    //System.out.println(String.format("base64DecodeMat: width=%d height=%d type=%d", width, height, type));

    Mat mat = new Mat(height, width, type);
    mat.put(0, 0, sourcePixels);

    return mat;//from   w ww.  ja  va  2 s.  c  o m
}

---

From source file:com.jeremydyer.nifi.ZoomImageProcessor.java

License:Apache License

@Override
public void onTrigger(final ProcessContext context, final ProcessSession session) throws ProcessException {
    final FlowFile original = session.get();
    if (original == null) {
        return;/*from   w ww .  j  av a 2 s. c  o  m*/
    }

    session.transfer(session.clone(original), REL_ORIGINAL);

    FlowFile ff = session.write(original, new StreamCallback() {
        @Override
        public void process(InputStream inputStream, OutputStream outputStream) throws IOException {
            try {
                int zoomingFactor = context.getProperty(ZOOMING_FACTOR).asInteger();

                BufferedImage image = ImageIO.read(inputStream);
                byte[] pixels = ((DataBufferByte) image.getRaster().getDataBuffer()).getData();
                Mat source = new Mat(image.getHeight(), image.getWidth(), Imgcodecs.CV_LOAD_IMAGE_GRAYSCALE);
                source.put(0, 0, pixels);

                Mat destination = new Mat(source.rows() * zoomingFactor, source.cols() * zoomingFactor,
                        source.type());
                Imgproc.resize(source, destination, destination.size(), zoomingFactor, zoomingFactor,
                        Imgproc.INTER_NEAREST);

                MatOfByte bytemat = new MatOfByte();
                Imgcodecs.imencode(".png", destination, bytemat);
                pixels = bytemat.toArray();
                outputStream.write(pixels);

            } catch (Exception ex) {
                getLogger().error(ex.getMessage());
                ex.printStackTrace();
            }
        }
    });

    session.transfer(ff, REL_SUCCESS);

}

---

From source file:com.jiminger.image.houghspace.internal.Mask.java

License:Open Source License

/**
* Generate an OpenCV Mat image that contains a view of the mask.
*///  www .j  a  va  2  s  .  c o m
public Mat getMaskImage() {
    final Mat m = new Mat(mheight, mwidth, CvType.CV_8UC1);
    m.put(0, 0, mask);
    return m;
}

---

From source file:com.joravasal.keyface.EigenFacesActivity.java

License:Open Source License

/**
 * Converts a matrix with any values into a matrix with correct values (between 0 and 255, both included) to be shown as an image.
 * @param mat: The matrix to convert/*  w  w w. ja  va  2s. co  m*/
 * @return A matrix that can be used as an image
 */
private Mat toGrayscale(Mat mat) {
    Mat res = new Mat(mat.rows(), mat.cols(), CvType.CV_8UC1);
    double min, max;
    MinMaxLocResult minmax = Core.minMaxLoc(mat);
    min = minmax.minVal;
    max = minmax.maxVal;
    for (int row = 0; row < mat.rows(); row++) {
        for (int col = 0; col < mat.cols(); col++) {
            res.put(row, col, 255 * ((mat.get(row, col)[0] - min) / (max - min)));
        }
    }
    return res;
}

---

From source file:com.kunato.imagestitching.SphereObject.java

License:Apache License

public void draw(float[] viewMatrix, float[] projectionMatrix) {
    int xh = GLES20.glGetUniformLocation(mProgram, "img_x");
    int yh = GLES20.glGetUniformLocation(mProgram, "img_y");
    int widthh = GLES20.glGetUniformLocation(mProgram, "img_width");
    int heighth = GLES20.glGetUniformLocation(mProgram, "img_height");

    if (mTexRequireUpdate) {
        Log.i("GLSphere", "Bitmap updated,Return to normal activity.");
        GLES20.glActiveTexture(GLES20.GL_TEXTURE0);
        GLES20.glBindTexture(GLES20.GL_TEXTURE_2D, this.mTextures[0]);
        GLUtils.texImage2D(GLES20.GL_TEXTURE_2D, 0, mQueueBitmap, 0);
        GLES20.glGenerateMipmap(GLES20.GL_TEXTURE_2D);
        mQueueBitmap.recycle();/*from  w  w w .j  av a  2s.  c o m*/
        mTexRequireUpdate = false;
    }
    GLES20.glUseProgram(mProgram);
    //Attrib
    mPositionHandle = GLES20.glGetAttribLocation(mProgram, "vPosition");
    mTextureCoordinateHandle = GLES20.glGetAttribLocation(mProgram, "a_TexCoordinate");
    mSphereBuffer.position(0);
    GLES20.glEnableVertexAttribArray(mPositionHandle);
    GLES20.glVertexAttribPointer(mPositionHandle, 3, GLES20.GL_FLOAT, false, mSphereShape.getVeticesStride(),
            mSphereBuffer);

    mSphereBuffer.position(3);
    GLES20.glEnableVertexAttribArray(mTextureCoordinateHandle);
    GLES20.glVertexAttribPointer(mTextureCoordinateHandle, 2, GLES20.GL_FLOAT, false,
            mSphereShape.getVeticesStride(), mSphereBuffer);
    //Uniform
    mTextureHandle = GLES20.glGetUniformLocation(mProgram, "sTexture");
    GLES20.glUniform1i(mTextureHandle, 0);
    //Area
    GLES20.glUniform1f(xh, mArea[0]);
    GLES20.glUniform1f(yh, mArea[1]);
    GLES20.glUniform1f(widthh, mArea[2]);
    GLES20.glUniform1f(heighth, mArea[3]);

    mViewMatrixHandle = GLES20.glGetUniformLocation(mProgram, "uViewMatrix");
    mProjectionMatrixHandle = GLES20.glGetUniformLocation(mProgram, "uProjectionMatrix");
    GLES20.glUniformMatrix4fv(mViewMatrixHandle, 1, false, viewMatrix, 0);
    GLES20.glUniformMatrix4fv(mProjectionMatrixHandle, 1, false, projectionMatrix, 0);
    GLES20.glDrawElements(GLES20.GL_TRIANGLES, mSphereShape.getNumIndices()[0], GLES20.GL_UNSIGNED_SHORT,
            mIndexBuffer);
    GLES20.glDisableVertexAttribArray(mPositionHandle);
    GLES20.glDisableVertexAttribArray(mTextureCoordinateHandle);

    if (readPixel) {
        Log.d("GL", "ReadPixel");
        mScreenBuffer = ByteBuffer.allocateDirect(glRenderer.mHeight * glRenderer.mWidth * 4);
        mScreenBuffer.order(ByteOrder.nativeOrder());
        GLES20.glReadPixels(0, 0, glRenderer.mWidth, glRenderer.mHeight, GLES20.GL_RGBA,
                GLES20.GL_UNSIGNED_BYTE, mScreenBuffer);
        Log.d("mScreenBuffer", "Remaining " + mScreenBuffer.remaining());
        mScreenBuffer.rewind();
        byte pixelsBuffer[] = new byte[4 * glRenderer.mHeight * glRenderer.mWidth];
        mScreenBuffer.get(pixelsBuffer);
        Mat mat = new Mat(glRenderer.mHeight, glRenderer.mWidth, CvType.CV_8UC4);
        mat.put(0, 0, pixelsBuffer);
        Mat m = new Mat();
        Imgproc.cvtColor(mat, m, Imgproc.COLOR_RGBA2BGR);
        Core.flip(m, mat, 0);
        Highgui.imwrite("/sdcard/stitch/readpixel.jpg", mat);

    }
}

---

From source file:com.lauszus.facerecognitionapp.TinyDB.java

License:Apache License

public ArrayList<Mat> getListMat(String key) {
    ArrayList<String> objStrings = getListString(key);
    ArrayList<Mat> objects = new ArrayList<Mat>();

    for (String jObjString : objStrings) {
        byte[] data = Base64.decode(jObjString, Base64.DEFAULT);
        Mat mat = new Mat(data.length, 1, CvType.CV_8U);
        mat.put(0, 0, data);
        objects.add(mat);//from   w w w .  j  a v a  2s . c o  m
    }
    return objects;
}

---

• «
• 1
• 2
• 3
• 4
• 5
• 6
• 7
• 8
• 9
• 10
• 11
• 12
• 13
• 14
• 15
• 16
• 17
• 18
• 19
• »