Question

我正在创建一个完全在BufferedImage中运行的图像处理应用程序。现在我在[OpenShift.com]的博客中偶然发现了面部检测的代码现在我想将该代码集成到我自己的GUI应用程序中。但是面对问题，因为Face Detector代码图像是iplImage对象的一个实例，为此我需要先将缓冲的图像转换为IplImage，以便该方法接受现在转换的图片。请帮忙.. 我将离开面部探测器代码。

public class FaceDetection{

    //Load haar classifier XML file
    public static final String XML_FILE = 
            "C:\\opencv\\sources\\data\\haarcascades\\haarcascade_frontalface_alt2.xml";

    public static void main(String[] args){

        //Load image
        IplImage img = cvLoadImage("C:\\Users\\The Blue Light\\Desktop\\13.jpg");       
        detect(img);        
    }   

    //Detect for face using classifier XML file 
    public static void detect(IplImage src){

        //Define classifier 
        CvHaarClassifierCascade cascade = new CvHaarClassifierCascade(cvLoad(XML_FILE));

        CvMemStorage storage = CvMemStorage.create();

        //Detect objects
        CvSeq sign = cvHaarDetectObjects(
                src,
                cascade,
                storage,
                1.5,
                3,
                CV_HAAR_DO_CANNY_PRUNING);

        cvClearMemStorage(storage);


        int total_Faces = sign.total();     

        //Draw rectangles around detected objects
        for(int i = 0; i < total_Faces; i++){
            CvRect r = new CvRect(cvGetSeqElem(sign, i));
            cvRectangle (
                    src,
                    cvPoint(r.x(), r.y()),
                    cvPoint(r.width() + r.x(), r.height() + r.y()),
                    CvScalar.CYAN,
                    2,
                    CV_AA,
                    0);

        }

        //Display result
        cvShowImage("Result", src);
        cvWaitKey(0);

    }           
}

Answer 1

IplImage image = IplImage.createFrom（yourBufferedImage）;

谢谢@Marco13 正是我需要的......

将IplImage转换为BufferedImage进行集成

1 个答案: