本文整理汇总了Java中org.opencv.core.Core.rectangle方法的典型用法代码示例。如果您正苦于以下问题：Java Core.rectangle方法的具体用法？Java Core.rectangle怎么用？Java Core.rectangle使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类org.opencv.core.Core的用法示例。
在下文中一共展示了Core.rectangle方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: findRectangle
import org.opencv.core.Core; //导入方法依赖的package包/类
public void findRectangle() {
Imgproc.cvtColor(originalImage, image, Imgproc.COLOR_BGR2GRAY);
setFilter();
this.rects.clear();
//Find Contours
Imgproc.findContours(image, contours, hierarchy, Imgproc.RETR_TREE, Imgproc.CHAIN_APPROX_SIMPLE, new Point(0, 0));
//For conversion later on
MatOfPoint2f approxCurve = new MatOfPoint2f();
//For each contour found
for (int i = 0; i < contours.size(); i++) {
//Convert contours from MatOfPoint to MatOfPoint2f
MatOfPoint2f contour2f = new MatOfPoint2f(contours.get(i).toArray());
//Processing on mMOP2f1 which is in type MatOfPoint2f
double approxDistance = Imgproc.arcLength(contour2f, true) * 0.02;
if (approxDistance > 1) {
//Find Polygons
Imgproc.approxPolyDP(contour2f, approxCurve, approxDistance, true);
//Convert back to MatOfPoint
MatOfPoint points = new MatOfPoint(approxCurve.toArray());
//Rectangle Checks - Points, area, convexity
if (points.total() == 4 && Math.abs(Imgproc.contourArea(points)) > 1000 && Imgproc.isContourConvex(points)) {
double cos = 0;
double mcos = 0;
for (int sc = 2; sc < 5; sc++) {
// TO-DO Figure a way to check angle
if (cos > mcos) {
mcos = cos;
}
}
if (mcos < 0.3) {
// Get bounding rect of contour
Rect rect = Imgproc.boundingRect(points);
// if (Math.abs(rect.height - rect.width) < 1000) {
System.out.println(i + "| x: " + rect.x + " + width("+rect.width+"), y: " + rect.y + "+ width("+rect.height+")");
rects.add(rect);
Core.rectangle(originalImage, rect.tl(), rect.br(), new Scalar(20, 20, 20), -1, 4, 0);
Imgproc.drawContours(originalImage, contours, i, new Scalar(0, 255, 0, .8), 2);
// Highgui.imwrite("detected_layers"+i+".png", originalImage);
// }
}
}
}
}
// Pass raw parameters
ImageDetection id = new ImageDetection();
HyperTextBuilder.rects = this.rects;
HyperTextBuilder.rect_height = this.HEIGHT;
HyperTextBuilder.rect_width = this.WIDTH;
id.setData(Utility.matToBufferedImage(originalImage));
}
示例2: onCameraFrame
import org.opencv.core.Core; //导入方法依赖的package包/类
public Mat onCameraFrame(CvCameraViewFrame inputFrame) {
mRgba = inputFrame.rgba();
mGray = inputFrame.gray();
if (mAbsoluteFaceSize == 0) {
int height = mGray.rows();
if (Math.round(height * mRelativeFaceSize) > 0) {
mAbsoluteFaceSize = Math.round(height * mRelativeFaceSize);
}
}
MatOfRect faces = new MatOfRect();
if (mJavaDetector != null)
mJavaDetector.detectMultiScale(mGray, faces, 1.1, 2, 2, // TODO: objdetect.CV_HAAR_SCALE_IMAGE
new Size(mAbsoluteFaceSize, mAbsoluteFaceSize), new Size());
Rect[] facesArray = faces.toArray();
if(isFaceRectangleEnabled){
for (int i = 0; i < facesArray.length; i++)
Core.rectangle(mRgba, facesArray[i].tl(), facesArray[i].br(), FACE_RECT_COLOR, 3);
}
if (facesArray.length == 1)
{
chooseFaceRect = facesArray[0].clone();
isFaceRectChosen = true;
}
return mRgba;
}