import org.opencv.core.Core; //导入方法依赖的package包/类
public Mat skinDetection(Mat src) {
// define the upper and lower boundaries of the HSV pixel
// intensities to be considered ‘skin’
Scalar lower = new Scalar(0, 48, 80);
Scalar upper = new Scalar(20, 255, 255);
// Convert to HSV
Mat hsvFrame = new Mat(src.rows(), src.cols(), CvType.CV_8U, new Scalar(3));
Imgproc.cvtColor(src, hsvFrame, Imgproc.COLOR_RGB2HSV, 3);
// Mask the image for skin colors
Mat skinMask = new Mat(hsvFrame.rows(), hsvFrame.cols(), CvType.CV_8U, new Scalar(3));
Core.inRange(hsvFrame, lower, upper, skinMask);
// currentSkinMask = new Mat(hsvFrame.rows(), hsvFrame.cols(), CvType.CV_8U, new Scalar(3));
// skinMask.copyTo(currentSkinMask);
// apply a series of erosions and dilations to the mask
// using an elliptical kernel
final Size kernelSize = new Size(11, 11);
final Point anchor = new Point(-1, -1);
final int iterations = 2;
Mat kernel = Imgproc.getStructuringElement(Imgproc.MORPH_ELLIPSE, kernelSize);
Imgproc.erode(skinMask, skinMask, kernel, anchor, iterations);
Imgproc.dilate(skinMask, skinMask, kernel, anchor, iterations);
// blur the mask to help remove noise, then apply the
// mask to the frame
final Size ksize = new Size(3, 3);
Mat skin = new Mat(skinMask.rows(), skinMask.cols(), CvType.CV_8U, new Scalar(3));
Imgproc.GaussianBlur(skinMask, skinMask, ksize, 0);
Core.bitwise_and(src, src, skin, skinMask);
return skin;
}
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