Java Code Examples for org.opencv.imgproc.Imgproc#line()
The following examples show how to use
org.opencv.imgproc.Imgproc#line() .
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Example 1
| Source File: OpenCVoperation.java From Human-hair-detection with Apache License 2.0 | 6 votes |
|
public void predict_hair_color()
{
Mat hsv_input = matrix9_finalOutput.clone();
List<Mat> channels= new ArrayList<>();
Mat hsv_histogram = new Mat();
MatOfFloat ranges = new MatOfFloat(0,180);
MatOfInt histSize = new MatOfInt(255);
Imgproc.cvtColor(hsv_input, hsv_input, Imgproc.COLOR_BGR2HSV);
Core.split(hsv_input, channels);
Imgproc.calcHist(channels.subList(0,1), new MatOfInt(0), new Mat(), hsv_histogram, histSize, ranges);
int hist_w =256;
int hist_h = 150;
int bin_w =(int)Math.round(hist_w/histSize.get(0,0)[0]);
Mat histImage= new Mat(hist_h,hist_w,CvType.CV_8UC3,new Scalar(0,0,0));
for(int i=1;i < histSize.get(0,0)[0];i++)
{
Imgproc.line(histImage, new Point(bin_w * (i - 1), hist_h - Math.round(hsv_histogram.get(i - 1, 0)[0])), new Point(bin_w * (i), hist_h - Math.round(hsv_histogram.get(i, 0)[0])), new Scalar(255,0,0),2);
}
Imgcodecs.imwrite(resultDirectory+"histogram_image.png",histImage);
}
Example 2
| Source File: PaintUtils.java From super-cloudops with Apache License 2.0 | 5 votes |
|
/**
* 画矩形
*
* @param src
* @param r
* @param scalar
* @return
*/
public static Mat paintRect(Mat src, Rect r, Scalar scalar) {
Point pt1 = new Point(r.x, r.y);
Point pt2 = new Point(r.x + r.width, r.y);
Point pt3 = new Point(r.x + r.width, r.y + r.height);
Point pt4 = new Point(r.x, r.y + r.height);
Imgproc.line(src, pt1, pt2, scalar, 5);
Imgproc.line(src, pt2, pt3, scalar, 5);
Imgproc.line(src, pt3, pt4, scalar, 5);
Imgproc.line(src, pt4, pt1, scalar, 5);
return src;
}
Example 3
| Source File: MainActivity.java From MOAAP with MIT License | 5 votes |
|
void HoughLines() {
Mat grayMat = new Mat();
Mat cannyEdges = new Mat();
Mat lines = new Mat();
//Converting the image to grayscale
Imgproc.cvtColor(originalMat, grayMat, Imgproc.COLOR_BGR2GRAY);
Imgproc.Canny(grayMat, cannyEdges, 10, 100);
Imgproc.HoughLinesP(cannyEdges, lines, 1, Math.PI / 180, 50, 20, 20);
Mat houghLines = new Mat();
houghLines.create(cannyEdges.rows(), cannyEdges.cols(), CvType.CV_8UC1);
//Drawing lines on the image
for (int i = 0; i < lines.cols(); i++) {
double[] points = lines.get(0, i);
double x1, y1, x2, y2;
x1 = points[0];
y1 = points[1];
x2 = points[2];
y2 = points[3];
Point pt1 = new Point(x1, y1);
Point pt2 = new Point(x2, y2);
//Drawing lines on an image
Imgproc.line(houghLines, pt1, pt2, new Scalar(255, 0, 0), 1);
}
//Converting Mat back to Bitmap
Utils.matToBitmap(houghLines, currentBitmap);
imageView.setImageBitmap(currentBitmap);
}
Example 4
| Source File: StepByStepTestActivity.java From CVScanner with GNU General Public License v3.0 | 5 votes |
|
void drawRect(Mat img, Point[] points) {
if (img == null || points == null || points.length != 4) return;
Point[] sorted = CVProcessor.sortPoints(points);
Imgproc.line(img, sorted[0], sorted[1], new Scalar(250, 0, 0), 2);
Imgproc.line(img, sorted[0], sorted[3], new Scalar(250, 0, 0), 2);
Imgproc.line(img, sorted[1], sorted[2], new Scalar(250, 0, 0), 2);
Imgproc.line(img, sorted[3], sorted[2], new Scalar(250, 0, 0), 2);
}
Example 5
| Source File: ProcessHelper.java From OpenCV-android with Apache License 2.0 | 4 votes |
|
/**
* 直线检测
*
* @param origin 原始bitmap
* @param callback 回调
*/
public void hough(Bitmap origin, ProcessCallback callback) {
if (origin == null) {
return;
}
try {
Bitmap bitmap = Bitmap.createBitmap(origin.getWidth(), origin.getHeight(), Bitmap.Config.RGB_565);
Utils.bitmapToMat(origin, rgbMat);
Imgproc.cvtColor(rgbMat, grayMat, Imgproc.COLOR_RGB2GRAY);
Mat edges = new Mat();
Mat src = new Mat(origin.getHeight(), origin.getWidth(), CvType.CV_8UC4);
Mat lines = new Mat();
// 拷贝
Mat origination = new Mat(src.size(), CvType.CV_8UC1);
src.copyTo(origination);
// 通过Canny得到边缘图
Imgproc.cvtColor(origination, grayMat, Imgproc.COLOR_BGR2GRAY);
Imgproc.Canny(grayMat, edges, 50, 200);
// 获取直线图
Imgproc.HoughLinesP(edges, lines, 1, Math.PI / 180, 10, 0, 10);
Mat houghLines = new Mat();
houghLines.create(edges.rows(), edges.cols(), CvType.CV_8UC1);
// 绘制直线
for (int i = 0; i < lines.rows(); i++) {
double[] points = lines.get(i, 0);
if (null != points) {
double x1, y1, x2, y2;
x1 = points[0];
y1 = points[1];
x2 = points[2];
y2 = points[3];
Point pt1 = new Point(x1, y1);
Point pt2 = new Point(x2, y2);
Imgproc.line(houghLines, pt1, pt2, new Scalar(55, 100, 195), 3);
}
}
Utils.matToBitmap(houghLines, bitmap);
callback.onSuccess(bitmap);
} catch (Exception e) {
callback.onFailed(e.getMessage());
}
}
Example 6
| Source File: MainActivity.java From MOAAP with MIT License | 4 votes |
|
public Mat onCameraFrame(CvCameraViewFrame inputFrame) {
final int viewMode = mViewMode;
switch (viewMode) {
case VIEW_MODE_OPTICAL_FLOW:
mGray = inputFrame.gray();
if(features.toArray().length==0){
int rowStep = 50, colStep = 100;
int nRows = mGray.rows()/rowStep, nCols = mGray.cols()/colStep;
// Log.d(TAG, "\nRows: "+nRows+"\nCols: "+nCols+"\n");
Point points[] = new Point[nRows*nCols];
for(int i=0; i<nRows; i++){
for(int j=0; j<nCols; j++){
points[i*nCols+j]=new Point(j*colStep, i*rowStep);
// Log.d(TAG, "\nRow: "+i*rowStep+"\nCol: "+j*colStep+"\n: ");
}
}
features.fromArray(points);
prevFeatures.fromList(features.toList());
mPrevGray = mGray.clone();
break;
}
nextFeatures.fromArray(prevFeatures.toArray());
Video.calcOpticalFlowPyrLK(mPrevGray, mGray, prevFeatures, nextFeatures, status, err);
List<Point> prevList=features.toList(), nextList=nextFeatures.toList();
Scalar color = new Scalar(255);
for(int i = 0; i<prevList.size(); i++){
// Core.circle(mGray, prevList.get(i), 5, color);
Imgproc.line(mGray, prevList.get(i), nextList.get(i), color);
}
mPrevGray = mGray.clone();
break;
case VIEW_MODE_KLT_TRACKER:
mGray = inputFrame.gray();
if(features.toArray().length==0){
Imgproc.goodFeaturesToTrack(mGray, features, 10, 0.01, 10);
Log.d(TAG, features.toList().size()+"");
prevFeatures.fromList(features.toList());
mPrevGray = mGray.clone();
// prevFeatures.fromList(nextFeatures.toList());
break;
}
// OpticalFlow(mPrevGray.getNativeObjAddr(), mGray.getNativeObjAddr(), prevFeatures.getNativeObjAddr(), nextFeatures.getNativeObjAddr());
Video.calcOpticalFlowPyrLK(mPrevGray, mGray, prevFeatures, nextFeatures, status, err);
List<Point> drawFeature = nextFeatures.toList();
// Log.d(TAG, drawFeature.size()+"");
for(int i = 0; i<drawFeature.size(); i++){
Point p = drawFeature.get(i);
Imgproc.circle(mGray, p, 5, new Scalar(255));
}
mPrevGray = mGray.clone();
prevFeatures.fromList(nextFeatures.toList());
break;
default: mViewMode = VIEW_MODE_KLT_TRACKER;
}
return mGray;
}
Example 7
| Source File: Drawing.java From FTCVision with MIT License | 4 votes |
|
public static void drawLine(Mat img, Point point1, Point point2, Color color, int thickness) {
Imgproc.line(img, point1, point2, color.getScalarRGBA(), thickness);
}
Example 8
| Source File: Puzzle15Processor.java From OpenCV-AndroidSamples with MIT License | 4 votes |
|
private void drawGrid(int cols, int rows, Mat drawMat) {
for (int i = 1; i < GRID_SIZE; i++) {
Imgproc.line(drawMat, new Point(0, i * rows / GRID_SIZE), new Point(cols, i * rows / GRID_SIZE), new Scalar(0, 255, 0, 255), 3);
Imgproc.line(drawMat, new Point(i * cols / GRID_SIZE, 0), new Point(i * cols / GRID_SIZE, rows), new Scalar(0, 255, 0, 255), 3);
}
}
