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Example about BLOB with a new image in data folder

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laurentBerger 10 years ago
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      data/example_blob.bmp
  2. 210
      samples/cpp/exampleBLOB.cpp

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#include <opencv2/opencv.hpp>
#include <vector>
#include <map>
#include <iostream>
using namespace std;
using namespace cv;
static void help()
{
cout << "\n This program demonstrates how to use BLOB and MSER to detect region \n"
"Usage: \n"
" ./BLOB_MSER <image1(../data/forme2.jpg as default)>\n"
"Press a key when image window is active to change descriptor";
}
String Legende(SimpleBlobDetector::Params &pAct)
{
String s = "";
if (pAct.filterByArea)
{
String inf = static_cast<ostringstream*>(&(ostringstream() << pAct.minArea))->str();
String sup = static_cast<ostringstream*>(&(ostringstream() << pAct.maxArea))->str();
s = " Area range [" + inf + " to " + sup + "]";
}
if (pAct.filterByCircularity)
{
String inf = static_cast<ostringstream*>(&(ostringstream() << pAct.minCircularity))->str();
String sup = static_cast<ostringstream*>(&(ostringstream() << pAct.maxCircularity))->str();
if (s.length() == 0)
s = " Circularity range [" + inf + " to " + sup + "]";
else
s += " AND Circularity range [" + inf + " to " + sup + "]";
}
if (pAct.filterByColor)
{
String inf = static_cast<ostringstream*>(&(ostringstream() << (int)pAct.blobColor))->str();
if (s.length() == 0)
s = " Blob color " + inf;
else
s += " AND Blob color " + inf;
}
if (pAct.filterByConvexity)
{
String inf = static_cast<ostringstream*>(&(ostringstream() << pAct.minConvexity))->str();
String sup = static_cast<ostringstream*>(&(ostringstream() << pAct.maxConvexity))->str();
if (s.length() == 0)
s = " Convexity range[" + inf + " to " + sup + "]";
else
s += " AND Convexity range[" + inf + " to " + sup + "]";
}
if (pAct.filterByInertia)
{
String inf = static_cast<ostringstream*>(&(ostringstream() << pAct.minInertiaRatio))->str();
String sup = static_cast<ostringstream*>(&(ostringstream() << pAct.maxInertiaRatio))->str();
if (s.length() == 0)
s = " Inertia ratio range [" + inf + " to " + sup + "]";
else
s += " AND Inertia ratio range [" + inf + " to " + sup + "]";
}
return s;
}
int main(int argc, char *argv[])
{
vector<String> fileName;
Mat img(600, 800, CV_8UC1);
if (argc == 1)
{
fileName.push_back("../data/example_blob.bmp");
}
else if (argc == 2)
{
fileName.push_back(argv[1]);
}
else
{
help();
return(0);
}
img = imread(fileName[0], IMREAD_UNCHANGED);
if (img.rows*img.cols <= 0)
{
cout << "Image " << fileName[0] << " is empty or cannot be found\n";
return(0);
}
SimpleBlobDetector::Params pDefaultBLOB;
// This is default parameters for SimpleBlobDetector
pDefaultBLOB.thresholdStep = 10;
pDefaultBLOB.minThreshold = 10;
pDefaultBLOB.maxThreshold = 220;
pDefaultBLOB.minRepeatability = 2;
pDefaultBLOB.minDistBetweenBlobs = 10;
pDefaultBLOB.filterByColor = false;
pDefaultBLOB.blobColor = 0;
pDefaultBLOB.filterByArea = false;
pDefaultBLOB.minArea = 25;
pDefaultBLOB.maxArea = 5000;
pDefaultBLOB.filterByCircularity = false;
pDefaultBLOB.minCircularity = 0.9f;
pDefaultBLOB.maxCircularity = std::numeric_limits<float>::max();
pDefaultBLOB.filterByInertia = false;
pDefaultBLOB.minInertiaRatio = 0.1f;
pDefaultBLOB.maxInertiaRatio = std::numeric_limits<float>::max();
pDefaultBLOB.filterByConvexity = false;
pDefaultBLOB.minConvexity = 0.95f;
pDefaultBLOB.maxConvexity = std::numeric_limits<float>::max();
// Descriptor array (BLOB or MSER)
vector<String> typeDesc;
// Param array for BLOB
vector<SimpleBlobDetector::Params> pBLOB;
vector<SimpleBlobDetector::Params>::iterator itBLOB;
// Param array for MSER
// Color palette
vector< Vec3b > palette;
for (int i = 0; i<65536; i++)
{
palette.push_back(Vec3b((uchar)rand(), (uchar)rand(), (uchar)rand()));
}
help();
typeDesc.push_back("BLOB");
pBLOB.push_back(pDefaultBLOB);
pBLOB.back().filterByColor = true;
pBLOB.back().blobColor = 0;
// This descriptor are going to be detect and compute BLOBS with 5 differents params
// Param for first BLOB detector we want all
typeDesc.push_back("BLOB"); // see http://docs.opencv.org/trunk/d0/d7a/classcv_1_1SimpleBlobDetector.html
pBLOB.push_back(pDefaultBLOB);
pBLOB.back().filterByArea = true;
pBLOB.back().minArea = 1;
pBLOB.back().maxArea = float(img.rows*img.cols);
// Param for second BLOB detector we want area between 500 and 2900 pixels
typeDesc.push_back("BLOB");
pBLOB.push_back(pDefaultBLOB);
pBLOB.back().filterByArea = true;
pBLOB.back().minArea = 500;
pBLOB.back().maxArea = 2900;
// Param for third BLOB detector we want only circular object
typeDesc.push_back("BLOB");
pBLOB.push_back(pDefaultBLOB);
pBLOB.back().filterByCircularity = true;
// Param for Fourth BLOB detector we want ratio inertia
typeDesc.push_back("BLOB");
pBLOB.push_back(pDefaultBLOB);
pBLOB.back().filterByInertia = true;
pBLOB.back().minInertiaRatio = 0;
pBLOB.back().maxInertiaRatio = (float)0.2;
// Param for Fourth BLOB detector we want ratio inertia
typeDesc.push_back("BLOB");
pBLOB.push_back(pDefaultBLOB);
pBLOB.back().filterByConvexity = true;
pBLOB.back().minConvexity = 0.;
pBLOB.back().maxConvexity = (float)0.9;
itBLOB = pBLOB.begin();
vector<double> desMethCmp;
Ptr<Feature2D> b;
String label;
// Descriptor loop
vector<String>::iterator itDesc;
for (itDesc = typeDesc.begin(); itDesc != typeDesc.end(); itDesc++)
{
vector<KeyPoint> keyImg1;
if (*itDesc == "BLOB")
{
b = SimpleBlobDetector::create(*itBLOB);
label = Legende(*itBLOB);
itBLOB++;
}
try
{
// We can detect keypoint with detect method
vector<KeyPoint> keyImg;
vector<Rect> zone;
vector<vector <Point>> region;
Mat desc, result(img.rows, img.cols, CV_8UC3);
if (b.dynamicCast<SimpleBlobDetector>() != NULL)
{
Ptr<SimpleBlobDetector> sbd = b.dynamicCast<SimpleBlobDetector>();
sbd->detect(img, keyImg, Mat());
drawKeypoints(img, keyImg, result);
int i = 0;
for (vector<KeyPoint>::iterator k = keyImg.begin(); k != keyImg.end(); k++, i++)
circle(result, k->pt, (int)k->size, palette[i % 65536]);
}
namedWindow(*itDesc + label, WINDOW_AUTOSIZE);
imshow(*itDesc + label, result);
imshow("Original", img);
waitKey();
}
catch (Exception& e)
{
cout << "Feature : " << *itDesc << "\n";
cout << e.msg << endl;
}
}
return 0;
}
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