如何在opencv java中裁剪检测到的人脸图像

Question

我使用java中的opencv 2.4.10检测图像中的人脸

我把我的面部检测代码。

import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.MatOfRect;
import org.opencv.core.Point;
import org.opencv.core.Rect;
import org.opencv.core.Scalar;
import org.opencv.core.Size;
import org.opencv.highgui.Highgui;
import org.opencv.imgproc.Imgproc;
import org.opencv.objdetect.CascadeClassifier;

public class FaceDetector {

public static void main(String[] args)throws Exception {
    int x,y,height,width;

    System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
    System.out.println("\nRunning FaceDetector");

    //CascadeClassifier faceDetector = new CascadeClassifier(FaceDetector.class.getResource("haarcascade_frontalface_alt.xml").getPath());
    CascadeClassifier faceDetector=new CascadeClassifier();
    faceDetector.load("C:/opencv-2.4.10/opencv/sources/data/haarcascades/haarcascade_frontalface_alt.xml");
    //System.out.println(""+faceDetector);
   // Mat image = Highgui .imread(FaceDetector.class.getResource("D:/shekar.jpg").getPath());
    Mat image = Highgui .imread("D:/Eclipse - New Juno/New Juno Projects/detectface/man1.jpg");
    MatOfRect faceDetections = new MatOfRect();
    faceDetector.detectMultiScale(image, faceDetections);

    System.out.println(String.format("Detected %s faces", faceDetections.toArray().length));

    for (Rect rect : faceDetections.toArray()) {
        Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),
                new Scalar(0, 255, 0));
    }
    String filename = "china.jpg";
    System.out.println(String.format("Writing %s", filename));
    Highgui.imwrite(filename, image);


}

}

 Rect rectCrop = new Rect(x, y, width, height);
 Mat image_roi = image(rectCrop);
        image_roi.copyTo(cropimage);
        imwrite("cropimage.jpg",image_roi);

请任何人帮我解决这个问题。

谢谢

Answer 1

import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.MatOfRect;
import org.opencv.core.Point;
import org.opencv.core.Rect;
import org.opencv.core.Scalar;
import org.opencv.core.Size;
import org.opencv.highgui.Highgui;
import static org.opencv.highgui.Highgui.imwrite;
import org.opencv.imgproc.Imgproc;
import org.opencv.objdetect.CascadeClassifier;

public class FaceDetector {
    private static Mat cropImage;

public static void main(String[] args)throws Exception {
    int x = 0,y = 0,height = 0,width = 0;

    System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
        System.out.println("\nRunning FaceDetector");

//CascadeClassifier faceDetector = new       CascadeClassifier(FaceDetector.class.getResource("haarcascade_frontalface_alt.xm    l").getPath());
    CascadeClassifier faceDetector = new CascadeClassifier(Snapshot.class.getResource("haarcascade_frontalface_alt.xml").getPath().substring(1));
Mat image = Highgui.imread("C:\\image.jpg");
faceDetector.detectMultiScale(image, face_Detections);
System.out.println(String.format("Detected %s faces",  face_Detections.toArray().length));
Rect rect_Crop=null;
for (Rect rect : face_Detections.toArray()) {
    Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),
            new Scalar(0, 255, 0));
    rectCrop = new Rect(rect.x, rect.y, rect.width, rect.height);
}



 Mat image_roi = new Mat(image,rectCrop);
  Highgui.imwrite("C:\\cropimage_912.jpg",image_roi);



}}