OpenCV的到Android opencv的(JAVA) [英] OpenCV to android Opencv (JAVA)
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问题描述
我一直在试图watershed.cpp转换成Java,但有一个code,我无法理解。任何人都可以请其转换为Java
I have been trying to convert watershed.cpp into Java but there is a code I am unable to understand. Can anyone please convert it to Java
int idx = 0;
for( ; idx >= 0; idx = hierarchy[idx][0], compCount++ )
drawContours(markers, contours, idx, Scalar::all(compCount+1), -1, 8, hierarchy, INT_MAX);
if( compCount == 0 )
continue;
vector<Vec3b> colorTab;
for( i = 0; i < compCount; i++ )
{
int b = theRNG().uniform(0, 255);
int g = theRNG().uniform(0, 255);
int r = theRNG().uniform(0, 255);
colorTab.push_back(Vec3b((uchar)b, (uchar)g, (uchar)r));
}
您可以找到这个链接全CPP code
下面是我的code
public Mat watershedCPP(Mat img0) {
// img0 is the image got by imread
img = getImageViewImage();
img0.copyTo(img);
Imgproc.cvtColor(img, markersMask, Imgproc.COLOR_RGB2GRAY);
Imgproc.cvtColor(markersMask, imgGray, Imgproc.COLOR_GRAY2BGR);
markersMask.setTo(Scalar.all(0));
List<MatOfPoint> contours = new ArrayList<MatOfPoint>();
MatOfInt4 hierarchy = new MatOfInt4();
Imgproc.findContours(markersMask, contours, hierarchy,
Imgproc.RETR_LIST, Imgproc.CHAIN_APPROX_SIMPLE);
Mat markers = new Mat(markersMask.size(), CvType.CV_32S);
markers.setTo(Scalar.all(0));
int idx = 0, compCount = 0;
// for( ; idx >= 0; idx = (int) hierarchy.get(idx, 0)[0], compCount++ )
for (int i = 0; i < hierarchy.rows(); i++)
for (int j = 0; j < hierarchy.cols(); j++) {
compCount++;
Imgproc.drawContours(markers, contours, compCount,
new Scalar((Math.random()*8+1)), 2, 8, hierarchy,
(hierarchy.rows() * hierarchy.rows()),
new Point(-1, -1));
}
Imgproc.watershed(img0, markers);
/*int size = (int) (markers.total() * markers.channels());
List<colorContainer> colorTab = new ArrayList<WatershedActivity.colorContainer>();
double[] temp = new double[size];
for (int i = 0; i <= compCount; i++) {
for (int j = 0; j < size; j++)
temp[j] = (Math.random() * 255 + 0);
colorContainer container = new colorContainer();
container.setColor(temp);
colorTab.add(container);
}*/
Mat wshed = new Mat(markers.size(), CvType.CV_8UC3);
int gen=0;
/* for (int i = 0; i < markers.rows(); i++)
for (int j = 0; j < markers.cols(); j++) {
double[]index = markers.get(i, j);
if (index[0] == -1) {
for (int k = 0; k < size; k++)
temp[k] = (double)255;
wshed.put(i, j, temp);
} else if (index[0] <= 0) {
for (int k = 0; k < temp.length; k++)
temp[k] = (double)0;
wshed.put(i, j, temp);
} else
Log.d("Running", i+" : "+j);
try {
if(gen%colorTab.size()==0)
gen=0;
//wshed.put(i, j, temp);
} catch (Exception e) {
e.printStackTrace();
}
}*/
Scalar alpha = new Scalar(0.6); // the factor
Core.multiply(wshed, alpha, wshed);
Scalar beta = new Scalar(0.6); // the factor
Core.multiply(imgGray, beta, imgGray);
Core.add(wshed, imgGray, wshed);
return wshed;
}
感谢您
投下来之前,你请评论。
Thank you Please comment before you down vote.
推荐答案
我希望这可以帮助你为我做类似的事情。
I hope this might help you as I am doing something similar.
Mat gray8 = new Mat(marked.size(), CvType.CV_8UC1);
Imgproc.cvtColor(marked, gray8, Imgproc.COLOR_RGB2GRAY);
Scalar mean = Core.mean(gray8);
Imgproc.threshold(gray8, gray8, mean.val[0], 255,
Imgproc.THRESH_BINARY);
/*Imgproc.erode(gray8, gray8, new Mat(), new Point(-1, -1), 2);*/
List<MatOfPoint> contours = new ArrayList<MatOfPoint>();
MatOfInt4 hierarchy = new MatOfInt4();
Imgproc.findContours(gray8, contours, hierarchy,
Imgproc.RETR_LIST, Imgproc.CHAIN_APPROX_SIMPLE);
Toast.makeText(getApplicationContext(), contours.size()+" yo", Toast.LENGTH_SHORT).show();
for (int contourIdx = 0; contourIdx < contours.size(); contourIdx++) {
Imgproc.drawContours(orginal, contours, contourIdx, new Scalar(0, 0, 255), -1, 1, hierarchy, 50, new Point(1,1));
}
gray8.convertTo(gray8, CvType.CV_32S);
Imgproc.watershed(orginal, gray8);
gray8.convertTo(gray8, CvType.CV_8UC1);
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