當前位置: 首頁>>代碼示例>>Java>>正文

Java Mat.put方法代碼示例

本文整理匯總了Java中org.opencv.core.Mat.put方法的典型用法代碼示例。如果您正苦於以下問題：Java Mat.put方法的具體用法？Java Mat.put怎麽用？Java Mat.put使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類org.opencv.core.Mat的用法示例。


在下文中一共展示了Mat.put方法的15個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Java代碼示例。

示例1: adaptativeProcess

import org.opencv.core.Mat; //導入方法依賴的package包/類
public static Mat adaptativeProcess(Mat img){
	Mat im = new Mat();
	Imgproc.threshold(img,im,120,255,Imgproc.THRESH_TRUNC);
	im = Thresholding.adaptativeThresholding(im);
	Imgproc.medianBlur(im,im,7);
	Mat threshImg = Thresholding.InvertImageColor(im);
	Thresholding.gridDetection(threshImg);
	
		Mat mat = Mat.zeros(4,2,CvType.CV_32F);
	mat.put(0,0,0); mat.put(0,1,512);
	mat.put(1,0,0); mat.put(1,1,0);
	mat.put(2,0,512); mat.put(2,1,0);
	mat.put(3,0,512); mat.put(3,1,512);
	
	mat = Imgproc.getPerspectiveTransform(Thresholding.grid,mat);
	
	Mat M = new Mat();
	
	Imgproc.warpPerspective(threshImg,M,mat, new Size(512,512));
	
	Imgproc.medianBlur(M,M,3);
	Imgproc.threshold(M,M,254,255,Imgproc.THRESH_BINARY);
	
	return Thresholding.InvertImageColor(M);
}
開發者ID:Sanahm，項目名稱:SudoCAM-Ku，代碼行數:26，代碼來源:Thresholding.java

示例2: normalProcess

import org.opencv.core.Mat; //導入方法依賴的package包/類
public static Mat normalProcess(Mat img){
	Mat threshImg = Thresholding.InvertImageColor(img);
	Thresholding.gridDetection(threshImg);
	Mat mat = Mat.zeros(4,2,CvType.CV_32F);
	mat.put(0,0,0); mat.put(0,1,512);
	mat.put(1,0,0); mat.put(1,1,0);
	mat.put(2,0,512); mat.put(2,1,0);
	mat.put(3,0,512); mat.put(3,1,512);
	
	mat = Imgproc.getPerspectiveTransform(Thresholding.grid,mat);
	
	Mat M = new Mat();
	
	Imgproc.warpPerspective(threshImg,M,mat, new Size(512,512));
	return Thresholding.InvertImageColor(M);
}
開發者ID:Sanahm，項目名稱:SudoCAM-Ku，代碼行數:17，代碼來源:Thresholding.java

示例3: loadResource

import org.opencv.core.Mat; //導入方法依賴的package包/類
public static Mat loadResource(Context context, int resourceId, int flags) throws IOException
{
    InputStream is = context.getResources().openRawResource(resourceId);
    ByteArrayOutputStream os = new ByteArrayOutputStream(is.available());

    byte[] buffer = new byte[4096];
    int bytesRead;
    while ((bytesRead = is.read(buffer)) != -1) {
        os.write(buffer, 0, bytesRead);
    }
    is.close();

    Mat encoded = new Mat(1, os.size(), CvType.CV_8U);
    encoded.put(0, 0, os.toByteArray());
    os.close();

    Mat decoded = Imgcodecs.imdecode(encoded, flags);
    encoded.release();

    return decoded;
}
開發者ID:raulh82vlc，項目名稱:Image-Detection-Samples，代碼行數:22，代碼來源:Utils.java

示例4: conv_Mat

import org.opencv.core.Mat; //導入方法依賴的package包/類
private Mat conv_Mat(BufferedImage img) {
    byte[] data = ((DataBufferByte) img.getRaster().getDataBuffer()).getData();
    Mat mat = new Mat(img.getHeight(), img.getWidth(), CvType.CV_8UC3);
    mat.put(0, 0, data);
    Mat mat1 = new Mat(img.getHeight(), img.getWidth(), CvType.CV_8UC3);
    Imgproc.cvtColor(mat, mat1, Imgproc.COLOR_RGB2HSV);

    return mat1;
}
開發者ID:javaspecial，項目名稱:Face-detection-and-recognition-desktop-application，代碼行數:10，代碼來源:FaceRecognizeFrame.java

示例5: LocalContrast

import org.opencv.core.Mat; //導入方法依賴的package包/類
public static Mat LocalContrast(Mat img) {
	double[] h = { 1.0 / 16.0, 4.0 / 16.0, 6.0 / 16.0, 4.0 / 16.0, 1.0 / 16.0 };
	Mat mask = new Mat(h.length, h.length, img.type());
	for (int i = 0; i < h.length; i++) {
		for (int j = 0; j < h.length; j++) {
			mask.put(i, j, h[i] * h[j]);
		}
	}
	Mat localContrast = new Mat();
	Imgproc.filter2D(img, localContrast, img.depth(), mask);
	for (int i = 0; i < localContrast.rows(); i++) {
		for (int j = 0; j < localContrast.cols(); j++) {
			if (localContrast.get(i, j)[0] > Math.PI / 2.75) localContrast.put(i, j, Math.PI / 2.75);
		}
	}
	Core.subtract(img, localContrast, localContrast);
	return localContrast.mul(localContrast);
}
開發者ID:IsaacChanghau，項目名稱:OptimizedImageEnhance，代碼行數:19，代碼來源:FeatureWeight.java

示例6: bufferedImage2Mat

import org.opencv.core.Mat; //導入方法依賴的package包/類
/**
 * Converts a buffered image object in to an openCV mat.
 * @param image buffered image
 * @return mat
 */
public static Mat bufferedImage2Mat(BufferedImage image){
	byte[] data = ((DataBufferByte) image.getRaster().getDataBuffer()).getData();  		  
	Mat mat = new Mat(image.getHeight(), image.getWidth(), CvType.CV_8UC3);  		  
	mat.put(0, 0, data);  		  		  
	return mat;  
}
開發者ID:Flash3388，項目名稱:FlashLib，代碼行數:12，代碼來源:CvProcessing.java

示例7: LocalContrast

import org.opencv.core.Mat; //導入方法依賴的package包/類
public static Mat LocalContrast(Mat img) {
	double[] h = { 1.0 / 16.0, 4.0 / 16.0, 6.0 / 16.0, 4.0 / 16.0, 1.0 / 16.0 };
	Mat mask = new Mat(h.length, h.length, img.type());
	for (int i = 0; i < h.length; i++) {
		for (int j = 0; j < h.length; j++) {
			mask.put(i, j, h[i] * h[j]);
		}
	}
	Mat localContrast = new Mat();
	Imgproc.filter2D(img, localContrast, img.depth(), mask);
	for (int i = 0; i < localContrast.rows(); i++) {
		for (int j = 0; j < localContrast.cols(); j++) {
			if (localContrast.get(i, j)[0] > Math.PI / 2.75)
				localContrast.put(i, j, Math.PI / 2.75);
		}
	}
	Core.subtract(img, localContrast, localContrast);
	return localContrast.mul(localContrast);
}
開發者ID:IsaacChanghau，項目名稱:ImageEnhanceViaFusion，代碼行數:20，代碼來源:WeightCalculate.java

示例8: atan2

import org.opencv.core.Mat; //導入方法依賴的package包/類
/**
 * Calculate bitwise atan2 for the given 2 images.
 */
private void atan2(Mat src1, Mat src2, Mat dst) {

    int height = src1.height();
    int width = src2.width();

    for (int y = 0; y < height; y++) {
        for (int x = 0; x < width; x++) {
            dst.put(y, x, Core.fastAtan2((float) src1.get(y, x)[0], (float) src2.get(y, x)[0]));
        }
    }
}
開發者ID:jorenham，項目名稱:fingerblox，代碼行數:15，代碼來源:ImageProcessing.java

示例9: bufferedImageToMat

import org.opencv.core.Mat; //導入方法依賴的package包/類
public 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;
}
開發者ID:lupino22，項目名稱:kronometer，代碼行數:7，代碼來源:Utility.java

示例10: transEstimateEachChannel

import org.opencv.core.Mat; //導入方法依賴的package包/類
public static Mat transEstimateEachChannel(Mat img, int patchSz, double airlight, double lambda, double fTrans) {
	int rows = img.rows();
	int cols = img.cols();
	Mat T = new Mat(rows, cols, img.type());
	for (int i = 0; i < rows; i += patchSz) {
		for (int j = 0; j < cols; j += patchSz) {
			int endRow = i + patchSz > rows ? rows : i + patchSz;
			int endCol = j + patchSz > cols ? cols : j + patchSz;
			Mat blkIm = img.submat(i, endRow, j, endCol);
			double Trans = BlkTransEstimate.blkEstimateEachChannel(blkIm, airlight, lambda, fTrans);
			for (int m = i; m < endRow; m++) for (int n = j; n < endCol; n++) T.put(m, n, Trans);
		}
	}
	return T;
}
開發者ID:IsaacChanghau，項目名稱:OptimizedImageEnhance，代碼行數:16，代碼來源:TransmissionEstimate.java

示例11: ExtractBoxes

import org.opencv.core.Mat; //導入方法依賴的package包/類
public static Mat ExtractBoxes(Mat im, int connectiviy){
	try{
		Mat stats = new Mat();
		Mat imB = Processing.binarize(im,Imgproc.THRESH_OTSU);
		Imgproc.connectedComponentsWithStats(imB,new Mat(),stats,new Mat(),connectiviy,CvType.CV_32S);
		
		Mat stat = Mat.zeros(81,5,CvType.CV_32F);
		double mcw = stats.get(0,2)[0]; //max contour width
		double mch = stats.get(0,3)[0]; // max contour height
		int j=0;
		for(int i = 1; i < stats.height(); i++){
			double area = stats.get(i,2)[0] * stats.get(i,3)[0];
			if(area < (mcw/8)*(mch/8) && area > (mcw/25)*(mch/25)){
				stat.put(j,0,stats.get(i,0)[0]);
				stat.put(j,1,stats.get(i,1)[0]);
				stat.put(j,2,stats.get(i,2)[0]);
				stat.put(j,3,stats.get(i,3)[0]);
				stat.put(j,4,stats.get(i,4)[0]);
				j +=1;
					
			}
			
		}
		stat = Processing.statSorted(stat,0);
		/*if(stat.get(0,0)[0] == 0 && stat.get(0,1)[0] ==0 && (stat.get(0,2)[0] ==0 || stat.get(0,3)[0] ==0))
			return null;*/
		return stat;
	}
	catch(Exception e){
		return null;
	}
}
開發者ID:Sanahm，項目名稱:SudoCAM-Ku，代碼行數:33，代碼來源:Processing.java

示例12: Exposedness

import org.opencv.core.Mat; //導入方法依賴的package包/類
public static Mat Exposedness(Mat img) {
	double sigma = 0.25;
	double average = 0.5;
	int rows = img.rows();
	int cols = img.cols();
	Mat exposedness = Mat.zeros(rows, cols, img.type());
	// W = exp(-(img - aver).^2 / (2*sigma^2));
	for (int i = 0; i < rows; i++) {
		for (int j = 0; j < cols; j++) {
			double value = Math.exp(-1.0 * Math.pow(img.get(i, j)[0] - average, 2.0) / (2 * Math.pow(sigma, 2.0)));
			exposedness.put(i, j, value);
		}
	}
	return exposedness;
}
開發者ID:IsaacChanghau，項目名稱:OptimizedImageEnhance，代碼行數:16，代碼來源:FeatureWeight.java

示例13: executar

import org.opencv.core.Mat; //導入方法依賴的package包/類
public void executar(String output1, String output2) {

		int height1 = original1.height();
		int width1 = original1.width();
		
		int height2 = original2.height();
		int width2 = original2.width();

		Mat imgCinza = new Mat(height1, width1, original1.type());
		Mat imgColorida = new Mat(height2, width2, original2.type());

		for (int h = 1; h < height1 - 1; h++) {
			for (int w = 1; w < width1 - 1; w++) {
				int cor1 = getMediaCinza(h, w);
				double[] tom1 = {cor1, cor1, cor1};
				imgCinza.put(h, w, tom1);
			}
		}
		
		for (int h = 1; h < height2 - 1; h++) {
			for (int w = 1; w < width2 - 1; w++) {
				imgColorida.put(h, w, getMediaColorida(h, w));
			}
		}

		Manipulacao m = new Manipulacao();
		m.salvarImagem(output1, imgCinza);
		m.salvarImagem(output2, imgColorida);

	}
開發者ID:mundodehads，項目名稱:cc-unespar，代碼行數:31，代碼來源:Media.java

示例14: detectMinutiae

import org.opencv.core.Mat; //導入方法依賴的package包/類
private Mat detectMinutiae(Mat skeleton, int border) {
    HashSet<Minutiae> minutiaeSet = new HashSet<>();
    System.out.println("Detecting minutiae");
    for(int c = border; c<skeleton.cols()-border; c++){
        for(int r = border; r<skeleton.rows()-border; r++) {
            double point = skeleton.get(r, c)[0];
            if (point != 0) {  // Not black
                int cn = neighbourCount(skeleton, r, c);

                if(cn == 1)
                    minutiaeSet.add(new Minutiae(c, r, Minutiae.Type.RIDGEENDING));
                else if(cn == 3)
                    minutiaeSet.add(new Minutiae(c, r, Minutiae.Type.BIFURCATION));
            }
        }
    }

    System.out.println("filtering minutiae");
    HashSet<Minutiae> filteredMinutiae = filterMinutiae(minutiaeSet, skeleton);
    System.out.println("number of minutiae: " + filteredMinutiae.size());
    Mat result = new Mat();
    System.out.println("Drawing minutiae");
    Imgproc.cvtColor(skeleton, result, Imgproc.COLOR_GRAY2RGB);
    double[] red = {255, 0, 0};
    double[] green = {0, 255, 0};
    for (Minutiae m : filteredMinutiae) {
        double [] color;
        if (m.type == Minutiae.Type.BIFURCATION) color = green;
        else color = red;
        result.put(m.y, m.x  , color);
        result.put(m.y, m.x-1, color);
        result.put(m.y, m.x+1, color);
        result.put(m.y-1, m.x  , color);
        result.put(m.y+1, m.x  , color);
    }
    MatOfKeyPoint keypoints = new MatOfKeyPoint();
    keypoints.fromArray(minutiaeToKeyPoints(skeleton, filteredMinutiae));
    keypointsField = keypoints;
    DescriptorExtractor extractor = DescriptorExtractor.create(DescriptorExtractor.ORB);
    Mat descriptors = new Mat();
    extractor.compute(skeleton, keypoints, descriptors);
    descriptorsField = descriptors;
    return result;
}
開發者ID:jorenham，項目名稱:fingerblox，代碼行數:45，代碼來源:ImageProcessing.java

示例15: onActivityResult

import org.opencv.core.Mat; //導入方法依賴的package包/類
@Override
protected void onActivityResult(int requestCode, int resultCode, Intent imageReturnedIntent) {
    //Put it there, just in case:)
    super.onActivityResult(requestCode, resultCode, imageReturnedIntent);

    switch(requestCode) {
        case SELECT_PHOTO:
            if(resultCode == RESULT_OK && read_external_storage_granted){
                try {
                    final Uri imageUri = imageReturnedIntent.getData();
                    final InputStream imageStream = getContentResolver().openInputStream(imageUri);
                    final Bitmap selectedImage = BitmapFactory.decodeStream(imageStream);
                    src = new Mat(selectedImage.getHeight(), selectedImage.getWidth(), CvType.CV_8UC4);
                    Utils.bitmapToMat(selectedImage, src);
                    src_gray = new Mat(selectedImage.getHeight(), selectedImage.getWidth(), CvType.CV_8UC1);
                    switch (ACTION_MODE) {
                        case HomeActivity.GAUSSIAN_BLUR:
                            Imgproc.GaussianBlur(src, src, new Size(9, 9), 0);
                            break;
                        case HomeActivity.MEAN_BLUR:
                            Imgproc.blur(src, src, new Size(9, 9));
                            break;
                        case HomeActivity.MEDIAN_BLUR:
                            Imgproc.medianBlur(src, src, 9);
                            break;
                        case HomeActivity.SHARPEN:
                            Mat kernel = new Mat(3, 3, CvType.CV_16SC1);
                            //int[] values = {0, -1, 0, -1, 5, -1, 0, -1, 0};
                            Log.d("imageType", CvType.typeToString(src.type()) + "");
                            kernel.put(0, 0, 0, -1, 0, -1, 5, -1, 0, -1, 0);
                            Imgproc.filter2D(src, src, src_gray.depth(), kernel);
                            break;
                        case HomeActivity.DILATE:
                            Imgproc.cvtColor(src, src_gray, Imgproc.COLOR_BGR2GRAY);
                            Imgproc.threshold(src_gray, src_gray, 100, 255, Imgproc.THRESH_BINARY);
                            Mat kernelDilate = Imgproc.getStructuringElement(Imgproc.MORPH_RECT, new Size(3, 3));
                            Imgproc.dilate(src_gray, src_gray, kernelDilate);
                            Imgproc.cvtColor(src_gray, src, Imgproc.COLOR_GRAY2RGBA, 4);
                            break;
                        case HomeActivity.ERODE:
                            Imgproc.cvtColor(src, src_gray, Imgproc.COLOR_BGR2GRAY);
                            Imgproc.threshold(src_gray, src_gray, 100, 255, Imgproc.THRESH_BINARY);
                            Mat kernelErode = Imgproc.getStructuringElement(Imgproc.MORPH_ELLIPSE, new Size(5, 5));
                            Imgproc.erode(src_gray, src_gray, kernelErode);
                            Imgproc.cvtColor(src_gray, src, Imgproc.COLOR_GRAY2RGBA, 4);
                            break;
                        case HomeActivity.THRESHOLD:
                            Imgproc.cvtColor(src, src_gray, Imgproc.COLOR_BGR2GRAY);
                            Imgproc.threshold(src_gray, src_gray, 100, 255, Imgproc.THRESH_BINARY);
                            Imgproc.cvtColor(src_gray, src, Imgproc.COLOR_GRAY2RGBA, 4);
                            break;
                        case HomeActivity.ADAPTIVE_THRESHOLD:
                            Imgproc.cvtColor(src, src_gray, Imgproc.COLOR_BGR2GRAY);
                            Imgproc.adaptiveThreshold(src_gray, src_gray, 255, Imgproc.ADAPTIVE_THRESH_GAUSSIAN_C, Imgproc.THRESH_BINARY, 3, 0);
                            Imgproc.cvtColor(src_gray, src, Imgproc.COLOR_GRAY2RGBA, 4);
                            break;
                    }
                    Bitmap processedImage = Bitmap.createBitmap(src.cols(), src.rows(), Bitmap.Config.ARGB_8888);
                    Log.i("imageType", CvType.typeToString(src.type()) + "");
                    Utils.matToBitmap(src, processedImage);
                    ivImage.setImageBitmap(selectedImage);
                    ivImageProcessed.setImageBitmap(processedImage);
                    Log.i("process", "process done");
                } catch (FileNotFoundException e) {
                    e.printStackTrace();
                }
            }
            break;
    }
}
開發者ID:johnhany，項目名稱:MOAAP，代碼行數:71，代碼來源:MainActivity.java


注：本文中的org.opencv.core.Mat.put方法示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台，相關代碼片段篩選自各路編程大神貢獻的開源項目，源碼版權歸原作者所有，傳播和使用請參考對應項目的License；未經允許，請勿轉載。