mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
205 lines
7.1 KiB
205 lines
7.1 KiB
#include <opencv2/core.hpp> |
|
#include <opencv2/imgproc.hpp> |
|
#include <opencv2/highgui.hpp> |
|
#include <opencv2/features2d.hpp> |
|
#include <vector> |
|
#include <map> |
|
#include <iostream> |
|
|
|
using namespace std; |
|
using namespace cv; |
|
|
|
|
|
static void help(char** argv) |
|
{ |
|
cout << "\n This program demonstrates how to use BLOB to detect and filter region \n" |
|
<< "Usage: \n" |
|
<< argv[0] |
|
<< " <image1(detect_blob.png as default)>\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<const ostringstream&>(ostringstream() << pAct.minArea).str(); |
|
String sup = static_cast<const ostringstream&>(ostringstream() << pAct.maxArea).str(); |
|
s = " Area range [" + inf + " to " + sup + "]"; |
|
} |
|
if (pAct.filterByCircularity) |
|
{ |
|
String inf = static_cast<const ostringstream&>(ostringstream() << pAct.minCircularity).str(); |
|
String sup = static_cast<const 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<const 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<const ostringstream&>(ostringstream() << pAct.minConvexity).str(); |
|
String sup = static_cast<const 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<const ostringstream&>(ostringstream() << pAct.minInertiaRatio).str(); |
|
String sup = static_cast<const 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[]) |
|
{ |
|
String fileName; |
|
cv::CommandLineParser parser(argc, argv, "{@input |detect_blob.png| }{h help | | }"); |
|
if (parser.has("h")) |
|
{ |
|
help(argv); |
|
return 0; |
|
} |
|
fileName = parser.get<string>("@input"); |
|
Mat img = imread(samples::findFile(fileName), IMREAD_COLOR); |
|
if (img.empty()) |
|
{ |
|
cout << "Image " << fileName << " is empty or cannot be found\n"; |
|
return 1; |
|
} |
|
|
|
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<String> typeDesc; |
|
// Param array for BLOB |
|
vector<SimpleBlobDetector::Params> pBLOB; |
|
vector<SimpleBlobDetector::Params>::iterator itBLOB; |
|
// Color palette |
|
vector< Vec3b > palette; |
|
for (int i = 0; i<65536; i++) |
|
{ |
|
uchar c1 = (uchar)rand(); |
|
uchar c2 = (uchar)rand(); |
|
uchar c3 = (uchar)rand(); |
|
palette.push_back(Vec3b(c1, c2, c3)); |
|
} |
|
help(argv); |
|
|
|
|
|
// These descriptors are going to be detecting and computing BLOBS with 6 different params |
|
// Param for first BLOB detector we want all |
|
typeDesc.push_back("BLOB"); // see http://docs.opencv.org/5.x/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 |
|
typeDesc.push_back("BLOB"); |
|
pBLOB.push_back(pDefaultBLOB); |
|
pBLOB.back().filterByColor = true; |
|
pBLOB.back().blobColor = 0; |
|
|
|
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>().get()) |
|
{ |
|
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 (const Exception& e) |
|
{ |
|
cout << "Feature : " << *itDesc << "\n"; |
|
cout << e.msg << endl; |
|
} |
|
} |
|
return 0; |
|
}
|
|
|