本文整理匯總了Java中org.opencv.imgproc.Imgproc.line方法的典型用法代碼示例。如果您正苦於以下問題：Java Imgproc.line方法的具體用法？Java Imgproc.line怎麽用？Java Imgproc.line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.imgproc.Imgproc的用法示例。
在下文中一共展示了Imgproc.line方法的7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: onCameraFrame
import org.opencv.imgproc.Imgproc; //導入方法依賴的package包/類
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;
}
示例2: HoughLines
import org.opencv.imgproc.Imgproc; //導入方法依賴的package包/類
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);
}
示例3: drawContourByPoints
import org.opencv.imgproc.Imgproc; //導入方法依賴的package包/類
public static void drawContourByPoints(Mat im, List<List<Point>> contours, Scalar color) {
for (List<Point> contour : contours) {
int len = contour.size();
for (int i = 0; i < len; ++i) {
int next_i = (i + 1) % len;
Imgproc.line(im, contour.get(i), contour.get(next_i), color, 2);
}
}
}
示例4: fillContour
import org.opencv.imgproc.Imgproc; //導入方法依賴的package包/類
public static void fillContour(Mat im, List<Point> contour, Point seed) {
Mat mask = Mat.zeros(new Size(im.width() + 2, im.height() + 2), CvType.CV_8UC1);
int len = contour.size();
for (int i = 0; i < len; ++i) {
int next_i = (i + 1) % len;
Imgproc.line(im, contour.get(i), contour.get(next_i), Util.SCALAR_WHITE, 2);
}
Imgproc.floodFill(im, mask, seed, Util.SCALAR_WHITE);
}
示例5: drawPostProcessing
import org.opencv.imgproc.Imgproc; //導入方法依賴的package包/類
/**
* Draws an array of analysis objects unto a mat.
*
* @param feed mat to draw on
* @param color color to draw with
* @param an array of analysis to draw
* @see Imgproc#circle(Mat, Point, int, Scalar)
*/
public static void drawPostProcessing(Mat feed, Scalar color, Analysis... an){
for (int i = 0; i < an.length; i++) {
Analysis analysis = an[i];
Imgproc.circle(feed,
new Point(analysis.getDouble(Analysis.PROP_CENTER_X), analysis.getDouble(Analysis.PROP_CENTER_Y)),
3, color, 2);
}
Imgproc.line(feed, new Point(feed.width()/2, 0), new Point(feed.width()/2, feed.height()), new Scalar(0, 51, 255));
}
示例6: drawLine
import org.opencv.imgproc.Imgproc; //導入方法依賴的package包/類
public static void drawLine(Mat img, Point point1, Point point2, Color color, int thickness) {
Imgproc.line(img, point1, point2, color.getScalarRGBA(), thickness);
}
示例7: line_P2P
import org.opencv.imgproc.Imgproc; //導入方法依賴的package包/類
public static void line_P2P(Mat inputmat, Point startP, Point endP) {
Imgproc.line(inputmat, startP, endP, new Scalar(128, 200, 255), 8);
}