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205 lines
7.0 KiB
205 lines
7.0 KiB
#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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if (argc == 1) |
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{ |
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fileName.push_back("../data/detect_blob.png"); |
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} |
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else if (argc == 2) |
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{ |
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fileName.push_back(argv[1]); |
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} |
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else |
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{ |
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help(); |
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return(0); |
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} |
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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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