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200 lines
7.0 KiB
C++
200 lines
7.0 KiB
C++
#include <opencv2/opencv.hpp>
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#include <vector>
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#include <map>
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#include <iostream>
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using namespace std;
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using namespace cv;
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static void help()
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{
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cout << "\n This program demonstrates how to use BLOB to detect and filter region \n"
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"Usage: \n"
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" ./detect_blob <image1(../data/detect_blob.png as default)>\n"
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"Press a key when image window is active to change descriptor";
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}
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static String Legende(SimpleBlobDetector::Params &pAct)
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{
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String s = "";
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if (pAct.filterByArea)
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{
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String inf = static_cast<ostringstream*>(&(ostringstream() << pAct.minArea))->str();
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String sup = static_cast<ostringstream*>(&(ostringstream() << pAct.maxArea))->str();
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s = " Area range [" + inf + " to " + sup + "]";
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}
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if (pAct.filterByCircularity)
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{
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String inf = static_cast<ostringstream*>(&(ostringstream() << pAct.minCircularity))->str();
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String sup = static_cast<ostringstream*>(&(ostringstream() << pAct.maxCircularity))->str();
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if (s.length() == 0)
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s = " Circularity range [" + inf + " to " + sup + "]";
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else
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s += " AND Circularity range [" + inf + " to " + sup + "]";
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}
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if (pAct.filterByColor)
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{
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String inf = static_cast<ostringstream*>(&(ostringstream() << (int)pAct.blobColor))->str();
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if (s.length() == 0)
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s = " Blob color " + inf;
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else
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s += " AND Blob color " + inf;
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}
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if (pAct.filterByConvexity)
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{
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String inf = static_cast<ostringstream*>(&(ostringstream() << pAct.minConvexity))->str();
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String sup = static_cast<ostringstream*>(&(ostringstream() << pAct.maxConvexity))->str();
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if (s.length() == 0)
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s = " Convexity range[" + inf + " to " + sup + "]";
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else
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s += " AND Convexity range[" + inf + " to " + sup + "]";
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}
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if (pAct.filterByInertia)
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{
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String inf = static_cast<ostringstream*>(&(ostringstream() << pAct.minInertiaRatio))->str();
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String sup = static_cast<ostringstream*>(&(ostringstream() << pAct.maxInertiaRatio))->str();
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if (s.length() == 0)
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s = " Inertia ratio range [" + inf + " to " + sup + "]";
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else
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s += " AND Inertia ratio range [" + inf + " to " + sup + "]";
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}
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return s;
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}
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int main(int argc, char *argv[])
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{
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vector<String> fileName;
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Mat img(600, 800, CV_8UC1);
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cv::CommandLineParser parser(argc, argv, "{@input |../data/detect_blob.png| }{h help | | }");
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if (parser.has("h"))
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{
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help();
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return 0;
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}
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fileName.push_back(parser.get<string>("@input"));
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img = imread(fileName[0], IMREAD_COLOR);
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if (img.rows*img.cols <= 0)
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{
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cout << "Image " << fileName[0] << " is empty or cannot be found\n";
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return(0);
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}
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SimpleBlobDetector::Params pDefaultBLOB;
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// This is default parameters for SimpleBlobDetector
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pDefaultBLOB.thresholdStep = 10;
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pDefaultBLOB.minThreshold = 10;
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pDefaultBLOB.maxThreshold = 220;
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pDefaultBLOB.minRepeatability = 2;
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pDefaultBLOB.minDistBetweenBlobs = 10;
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pDefaultBLOB.filterByColor = false;
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pDefaultBLOB.blobColor = 0;
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pDefaultBLOB.filterByArea = false;
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pDefaultBLOB.minArea = 25;
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pDefaultBLOB.maxArea = 5000;
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pDefaultBLOB.filterByCircularity = false;
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pDefaultBLOB.minCircularity = 0.9f;
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pDefaultBLOB.maxCircularity = (float)1e37;
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pDefaultBLOB.filterByInertia = false;
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pDefaultBLOB.minInertiaRatio = 0.1f;
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pDefaultBLOB.maxInertiaRatio = (float)1e37;
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pDefaultBLOB.filterByConvexity = false;
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pDefaultBLOB.minConvexity = 0.95f;
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pDefaultBLOB.maxConvexity = (float)1e37;
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// Descriptor array for BLOB
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vector<String> typeDesc;
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// Param array for BLOB
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vector<SimpleBlobDetector::Params> pBLOB;
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vector<SimpleBlobDetector::Params>::iterator itBLOB;
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// Color palette
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vector< Vec3b > palette;
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for (int i = 0; i<65536; i++)
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{
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palette.push_back(Vec3b((uchar)rand(), (uchar)rand(), (uchar)rand()));
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}
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help();
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// This descriptor are going to be detect and compute BLOBS with 6 differents params
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// Param for first BLOB detector we want all
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typeDesc.push_back("BLOB"); // see http://docs.opencv.org/trunk/d0/d7a/classcv_1_1SimpleBlobDetector.html
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pBLOB.push_back(pDefaultBLOB);
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pBLOB.back().filterByArea = true;
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pBLOB.back().minArea = 1;
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pBLOB.back().maxArea = float(img.rows*img.cols);
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// Param for second BLOB detector we want area between 500 and 2900 pixels
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typeDesc.push_back("BLOB");
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pBLOB.push_back(pDefaultBLOB);
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pBLOB.back().filterByArea = true;
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pBLOB.back().minArea = 500;
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pBLOB.back().maxArea = 2900;
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// Param for third BLOB detector we want only circular object
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typeDesc.push_back("BLOB");
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pBLOB.push_back(pDefaultBLOB);
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pBLOB.back().filterByCircularity = true;
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// Param for Fourth BLOB detector we want ratio inertia
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typeDesc.push_back("BLOB");
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pBLOB.push_back(pDefaultBLOB);
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pBLOB.back().filterByInertia = true;
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pBLOB.back().minInertiaRatio = 0;
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pBLOB.back().maxInertiaRatio = (float)0.2;
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// Param for fifth BLOB detector we want ratio inertia
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typeDesc.push_back("BLOB");
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pBLOB.push_back(pDefaultBLOB);
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pBLOB.back().filterByConvexity = true;
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pBLOB.back().minConvexity = 0.;
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pBLOB.back().maxConvexity = (float)0.9;
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// Param for six BLOB detector we want blob with gravity center color equal to 0 bug #4321 must be fixed
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typeDesc.push_back("BLOB");
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pBLOB.push_back(pDefaultBLOB);
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pBLOB.back().filterByColor = true;
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pBLOB.back().blobColor = 0;
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itBLOB = pBLOB.begin();
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vector<double> desMethCmp;
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Ptr<Feature2D> b;
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String label;
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// Descriptor loop
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vector<String>::iterator itDesc;
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for (itDesc = typeDesc.begin(); itDesc != typeDesc.end(); itDesc++)
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{
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vector<KeyPoint> keyImg1;
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if (*itDesc == "BLOB")
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{
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b = SimpleBlobDetector::create(*itBLOB);
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label = Legende(*itBLOB);
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itBLOB++;
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}
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try
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{
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// We can detect keypoint with detect method
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vector<KeyPoint> keyImg;
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vector<Rect> zone;
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vector<vector <Point> > region;
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Mat desc, result(img.rows, img.cols, CV_8UC3);
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if (b.dynamicCast<SimpleBlobDetector>() != NULL)
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{
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Ptr<SimpleBlobDetector> sbd = b.dynamicCast<SimpleBlobDetector>();
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sbd->detect(img, keyImg, Mat());
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drawKeypoints(img, keyImg, result);
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int i = 0;
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for (vector<KeyPoint>::iterator k = keyImg.begin(); k != keyImg.end(); k++, i++)
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circle(result, k->pt, (int)k->size, palette[i % 65536]);
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}
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namedWindow(*itDesc + label, WINDOW_AUTOSIZE);
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imshow(*itDesc + label, result);
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imshow("Original", img);
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waitKey();
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}
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catch (Exception& e)
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{
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cout << "Feature : " << *itDesc << "\n";
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cout << e.msg << endl;
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}
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}
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return 0;
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}
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