#include #include #include #include using namespace std; using namespace cv; static void help() { cout << "\n This program demonstrates how to use BLOB to detect and filter region \n" "Usage: \n" " ./detect_blob \n" "Press a key when image window is active to change descriptor"; } static String Legende(SimpleBlobDetector::Params &pAct) { String s = ""; if (pAct.filterByArea) { String inf = static_cast(&(ostringstream() << pAct.minArea))->str(); String sup = static_cast(&(ostringstream() << pAct.maxArea))->str(); s = " Area range [" + inf + " to " + sup + "]"; } if (pAct.filterByCircularity) { String inf = static_cast(&(ostringstream() << pAct.minCircularity))->str(); String sup = static_cast(&(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() << (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() << pAct.minConvexity))->str(); String sup = static_cast(&(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() << pAct.minInertiaRatio))->str(); String sup = static_cast(&(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 fileName; Mat img(600, 800, CV_8UC1); cv::CommandLineParser parser(argc, argv, "{@input |../data/detect_blob.png| }{h help | | }"); if (parser.has("h")) { help(); return 0; } fileName.push_back(parser.get("@input")); img = imread(fileName[0], IMREAD_COLOR); 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 = (float)1e37; pDefaultBLOB.filterByInertia = false; pDefaultBLOB.minInertiaRatio = 0.1f; pDefaultBLOB.maxInertiaRatio = (float)1e37; pDefaultBLOB.filterByConvexity = false; pDefaultBLOB.minConvexity = 0.95f; pDefaultBLOB.maxConvexity = (float)1e37; // Descriptor array for BLOB vector typeDesc; // Param array for BLOB vector pBLOB; vector::iterator itBLOB; // Color palette vector< Vec3b > palette; for (int i = 0; i<65536; i++) { palette.push_back(Vec3b((uchar)rand(), (uchar)rand(), (uchar)rand())); } help(); // This descriptor are going to be detect and compute BLOBS with 6 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 fifth 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; // Param for six BLOB detector we want blob with gravity center color equal to 0 bug #4321 must be fixed typeDesc.push_back("BLOB"); pBLOB.push_back(pDefaultBLOB); pBLOB.back().filterByColor = true; pBLOB.back().blobColor = 0; itBLOB = pBLOB.begin(); vector desMethCmp; Ptr b; String label; // Descriptor loop vector::iterator itDesc; for (itDesc = typeDesc.begin(); itDesc != typeDesc.end(); itDesc++) { vector keyImg1; if (*itDesc == "BLOB") { b = SimpleBlobDetector::create(*itBLOB); label = Legende(*itBLOB); itBLOB++; } try { // We can detect keypoint with detect method vector keyImg; vector zone; vector > region; Mat desc, result(img.rows, img.cols, CV_8UC3); if (b.dynamicCast() != NULL) { Ptr sbd = b.dynamicCast(); sbd->detect(img, keyImg, Mat()); drawKeypoints(img, keyImg, result); int i = 0; for (vector::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; }