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我想用Hough Circle算法检测眼睛虹膜及其中心.

我正在使用此代码:

 private void houghCircle()
    {
        Bitmap obtainedBitmap = imagesList.getFirst();
                 /* convert bitmap to mat */
        Mat mat = new Mat(obtainedBitmap.getWidth(),obtainedBitmap.getHeight(),
                CvType.CV_8UC1);
        Mat grayMat = new Mat(obtainedBitmap.getWidth(), obtainedBitmap.getHeight(),
                CvType.CV_8UC1);


        Utils.bitmapToMat(obtainedBitmap, mat);

/* convert to grayscale */
        int colorChannels = (mat.channels() == 3) ? Imgproc.COLOR_BGR2GRAY : ((mat.channels() == 4) ? Imgproc.COLOR_BGRA2GRAY : 1);

        Imgproc.cvtColor(mat, grayMat, colorChannels);

/* reduce the noise so we avoid false circle detection */
        Imgproc.GaussianBlur(grayMat, grayMat, new Size(9, 9), 2, 2);

// accumulator value
        double …

我正在尝试使用OpenCV,更具体地说是它的HoughCircles来检测和测量瞳孔和虹膜,目前我一直在玩这个函数中的一些变量,因为它要么返回0个圆圈,要么过量.下面是我正在使用的代码和测试图像.

虹膜测量代码:

 eye1 = [self increaseIn:eye1 Contrast:2 andBrightness:0];

cv::cvtColor(eye1, eye1, CV_RGBA2RGB);
cv::bilateralFilter(eye1, eye2, 75, 100, 100);

cv::vector<cv::Vec3f> circles;

cv::cvtColor(eye2, eye1, CV_RGBA2GRAY);

cv::morphologyEx(eye1, eye1, 4, cv::getStructuringElement(cv::MORPH_RECT,cv::Size(3, 3)));
cv::threshold(eye1, eye1, 0, 255, cv::THRESH_OTSU);

eye1 = [self circleCutOut:eye1 Size:50];

cv::GaussianBlur(eye1, eye1, cv::Size(7, 7), 0);

cv::HoughCircles(eye1, circles, CV_HOUGH_GRADIENT, 2, eye1.rows/4);

测量瞳孔的代码:

eye1 = [self increaseBlackPupil:eye1];
    cv::Mat eye2 = cv::Mat::zeros(eye1.rows, eye1.cols, CV_8UC3);

    eye1 = [self increaseIn:eye1 Contrast:2 andBrightness:0];

    cv::cvtColor(eye1, eye1, CV_RGBA2RGB);
    cv::bilateralFilter(eye1, eye2, 75, 100, 100);

    cv::threshold(eye2, eye1, 25, 255, CV_THRESH_BINARY);

    cv::SimpleBlobDetector::Params params;
    params.minDistBetweenBlobs = …