本文整理汇总了Java中org.opencv.core.MatOfPoint.total方法的典型用法代码示例。如果您正苦于以下问题：Java MatOfPoint.total方法的具体用法？Java MatOfPoint.total怎么用？Java MatOfPoint.total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.MatOfPoint的用法示例。
在下文中一共展示了MatOfPoint.total方法的3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.MatOfPoint; //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: filterForLargestContours
import org.opencv.core.MatOfPoint; //导入方法依赖的package包/类
/**
* Sorts the contours by their size and removes contours for the bottom of the list if the list contains
* too many contours.
*
* @param contours list of contours
* @param amount the maximum amount of contours that should remain after the operation
* @see #filterByComparator(List, int, Comparator)
*/
public static void filterForLargestContours(List<MatOfPoint> contours, int amount){
Comparator<MatOfPoint> sizeComparer = (MatOfPoint o1, MatOfPoint o2) ->{
if(o1.total() < o2.total()) return 1;
else if(o2.total() < o1.total()) return -1;
return 0;
};
filterByComparator(contours, amount, sizeComparer);
}
示例3: filterForSmallestContours
import org.opencv.core.MatOfPoint; //导入方法依赖的package包/类
/**
* Sorts the contours by their size and removes contours for the bottom of the list if the list contains
* too many contours.
*
* @param contours list of contours
* @param amount the maximum amount of contours that should remain after the operation
* @see #filterByComparator(List, int, Comparator)
*/
public static void filterForSmallestContours(List<MatOfPoint> contours, int amount){
Comparator<MatOfPoint> sizeComparer = (MatOfPoint o1, MatOfPoint o2) ->{
if(o1.total() > o2.total()) return 1;
else if(o2.total() > o1.total()) return -1;
return 0;
};
filterByComparator(contours, amount, sizeComparer);
}