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Update documentation

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This commit is contained in:
Suleyman TURKMEN
2017-12-31 14:13:13 +03:00
parent 71f4281080
commit dcd4f8f5db
8 changed files with 452 additions and 401 deletions
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12
samples/cpp/tutorial_code/ImgTrans/imageSegmentation.cpp
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@@ -73,15 +73,15 @@ int main()
//! [bin]
// Create binary image from source image
Mat bw;
cvtColor(src, bw, CV_BGR2GRAY);
threshold(bw, bw, 40, 255, CV_THRESH_BINARY | CV_THRESH_OTSU);
cvtColor(src, bw, COLOR_BGR2GRAY);
threshold(bw, bw, 40, 255, THRESH_BINARY | THRESH_OTSU);
imshow("Binary Image", bw);
//! [bin]
//! [dist]
// Perform the distance transform algorithm
Mat dist;
distanceTransform(bw, dist, CV_DIST_L2, 3);
distanceTransform(bw, dist, DIST_L2, 3);
// Normalize the distance image for range = {0.0, 1.0}
// so we can visualize and threshold it
@@ -92,7 +92,7 @@ int main()
//! [peaks]
// Threshold to obtain the peaks
// This will be the markers for the foreground objects
threshold(dist, dist, .4, 1., CV_THRESH_BINARY);
threshold(dist, dist, .4, 1., THRESH_BINARY);
// Dilate a bit the dist image
Mat kernel1 = Mat::ones(3, 3, CV_8UC1);
@@ -108,7 +108,7 @@ int main()
// Find total markers
vector<vector<Point> > contours;
findContours(dist_8u, contours, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE);
findContours(dist_8u, contours, RETR_EXTERNAL, CHAIN_APPROX_SIMPLE);
// Create the marker image for the watershed algorithm
Mat markers = Mat::zeros(dist.size(), CV_32SC1);
@@ -165,4 +165,4 @@ int main()
waitKey(0);
return 0;
}
}