Проблемы с обнаружением эллипса OpenCV в Java

Мы пытались конвертировать код C ++ из Обнаружение монет (и подгонки эллипсов) на изображении в Java. Когда мы запускаем программу с параметрами

2 PathToThePicture

он вылетает с этой ошибкой:

 OpenCV Error: Bad argument (Array should be CvMat or IplImage) in cvGetSize, file
..\..\..\..\opencv\modules\core\src\array.cpp, line 1238
Exception in thread "main" java.lang.RuntimeException: ..\..\..\..\opencv\modules
\core\src\array.cpp:1238: error: (-5) Array should be CvMat or IplImage in function
cvGetSize

at com.googlecode.javacv.cpp.opencv_core.cvGetSize(Native Method)
at DetectEllipse.main(DetectEllipse.java:65)

Вот преобразованный Java-код:

import static com.googlecode.javacv.cpp.opencv_core.CV_FILLED;
import static com.googlecode.javacv.cpp.opencv_core.CV_RGB;
import static com.googlecode.javacv.cpp.opencv_core.CV_WHOLE_SEQ;
import static com.googlecode.javacv.cpp.opencv_core.cvCreateImage;
import static com.googlecode.javacv.cpp.opencv_core.cvCreateMemStorage;
import static com.googlecode.javacv.cpp.opencv_core.cvDrawContours;
import static com.googlecode.javacv.cpp.opencv_core.cvGetSize;
import static com.googlecode.javacv.cpp.opencv_core.cvPoint;
import static com.googlecode.javacv.cpp.opencv_core.cvScalar;
import static com.googlecode.javacv.cpp.opencv_core.cvXorS;
import static com.googlecode.javacv.cpp.opencv_core.cvZero;
import static com.googlecode.javacv.cpp.opencv_highgui.cvLoadImage;
import static com.googlecode.javacv.cpp.opencv_highgui.cvSaveImage;
import static com.googlecode.javacv.cpp.opencv_imgproc.CV_CHAIN_APPROX_SIMPLE;
import static com.googlecode.javacv.cpp.opencv_imgproc.CV_RETR_CCOMP;
import static com.googlecode.javacv.cpp.opencv_imgproc.CV_THRESH_BINARY;
import static com.googlecode.javacv.cpp.opencv_imgproc.cvContourArea;
import static com.googlecode.javacv.cpp.opencv_imgproc.cvDilate;
import static com.googlecode.javacv.cpp.opencv_imgproc.cvFindContours;
import static com.googlecode.javacv.cpp.opencv_imgproc.cvThreshold;

import com.googlecode.javacpp.Loader;
import com.googlecode.javacv.cpp.opencv_core.CvContour;
import com.googlecode.javacv.cpp.opencv_core.CvMemStorage;
import com.googlecode.javacv.cpp.opencv_core.CvRect;
import com.googlecode.javacv.cpp.opencv_core.CvScalar;
import com.googlecode.javacv.cpp.opencv_core.CvSeq;
import com.googlecode.javacv.cpp.opencv_core.IplImage;

public class DetectEllipse{

public static final double M_PI = 3.14159265358979323846;
public static final double MIN_AREA = 100.00;
public static final double MAX_TOL = 100.00;

private static int[] array = { 0 };
//
// We need this to be high enough to get rid of things that are too small
// too
// have a definite shape. Otherwise, they will end up as ellipse false
// positives.
//
//
// One way to tell if an object is an ellipse is to look at the relationship
// of its area to its dimensions. If its actual occupied area can be
// estimated
// using the well-known area formula Area = PI*A*B, then it has a good
// chance of
// being an ellipse.
//
// This value is the maximum permissible error between actual and estimated
// area.
//

public static void main(String[] args) {
IplImage src = cvLoadImage(args[1], 0);
// the first command line parameter must be file name of binary
// (black-n-white) image
if (Integer.parseInt(args[0]) == 2) {
IplImage dst = cvCreateImage(cvGetSize(src), 8, 3);
CvMemStorage storage = cvCreateMemStorage(0);
CvSeq contour = new CvContour();
// maybe: = new CvSeq(0)
cvThreshold(src, src, 1, 255, CV_THRESH_BINARY);
//
// Invert the image such that white is foreground, black is
// background.
// Dilate to get rid of noise.
//
cvXorS(src, cvScalar(255, 0, 0, 0), src, null);
cvDilate(src, src, null, 2);

cvFindContours(src, storage, contour,
Loader.sizeof(CvContour.class), CV_RETR_CCOMP,
CV_CHAIN_APPROX_SIMPLE, cvPoint(0, 0));
cvZero(dst);

for (; contour.flags() != 0; contour = contour.h_next()) {
// if not working: use contour.isNull()
double actual_area = Math.abs(cvContourArea(contour,
CV_WHOLE_SEQ, 0));
if (actual_area < MIN_AREA)
continue;

//
// FIXME:
// Assuming the axes of the ellipse are vertical/perpendicular.
//
CvRect rect = ((CvContour) contour).rect();
int A = rect.width() / 2;
int B = rect.height() / 2;
double estimated_area = Math.PI * A * B;
double error = Math.abs(actual_area - estimated_area);
if (error > MAX_TOL)
continue;
System.out.printf("center x: %d y: %d A: %d B: %d\n", rect.x()
+ A, rect.y() + B, A, B);

CvScalar color = CV_RGB(
tangible.RandomNumbers.nextNumber() % 255,
tangible.RandomNumbers.nextNumber() % 255,
tangible.RandomNumbers.nextNumber() % 255);
cvDrawContours(dst, contour, color, color, -1, CV_FILLED, 8,
cvPoint(0, 0));
}

cvSaveImage("coins.png", dst, array);
}
}

}

Может кто-нибудь помочь использовать? Заранее спасибо !