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Tentative de débuggage du calcul des descripteurs de fourrier

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This commit is contained in:
Guillaume Courrier 2019-11-28 16:08:21 +01:00
parent a3bc554b7d
commit 0c6fd57163
4 changed files with 159 additions and 29 deletions
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38
tests/examples/test-descripteurs.cpp Normal file
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@ -0,0 +1,38 @@
#include <math.hpp>
int main(int argc, char** argv) {
std::string imagename = "";
int seuil = 25;
int cmax = 10;
if (argc > 2) {
imagename = argv[1];
seuil = atoi(argv[2]);
}
cv::namedWindow("Image", CV_WINDOW_AUTOSIZE);
cv::namedWindow("Binaire", CV_WINDOW_AUTOSIZE);
cv::namedWindow("Contour", CV_WINDOW_AUTOSIZE);
cv::Mat image = cv::imread(imagename, CV_LOAD_IMAGE_COLOR);
cv::Mat binaire(image.rows, image.cols, CV_8UC1);
cv::Mat contour_image(image.rows, image.cols, CV_8UC1);
std::vector<std::vector<cv::Point>> contours;
std::vector<std::vector<cv::Point>> contrs;
std::vector<cv::Vec4i> hierarchy;
math::filter(image, binaire, seuil);
cv::findContours(binaire, contours, hierarchy, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE);
int index = math::max_cont(contours);
contrs.push_back(contours[index]);
contrs.push_back(math::simplify_contour(contrs[0], cmax));
cv::drawContours(contour_image, contrs, -1, 255);
imshow("Image", image);
imshow("Binaire", binaire);
imshow("Contour", contour_image);
cv::waitKey(0);
return 0;
}

2
tests/examples/test-fft.cpp
View file

@ -27,6 +27,8 @@ int main(int argc, char** argv) {
s.push_back(math::complex(std::sin(2*math::pi()*f0*float(i)/fe), 0));
}
std::cout << math::mean(s) << std::endl;
math::csignal tfd;
clock_t begin = std::clock();

118
tests/src/math.hpp
View file

@ -13,13 +13,34 @@ namespace math {
using contour = std::vector<cv::Point>;
constexpr double pi() {return std::atan(1)*4;}
int filter(const cv::Mat& img, cv::Mat output, int seuil) {
bool detect = false;
uchar R, G, B;
int rows = img.rows;
int cols = img.cols;
int dim = img.channels();
int indexNB;
for (int index=0,indexNB=0;index<dim*rows*cols;index+=dim,indexNB++) {
detect=0;
B = img.data[index ];
G = img.data[index + 1];
R = img.data[index + 2];
if ((R>G) && (R>B))
if (((R-B)>=seuil) || ((R-G)>=seuil))
detect=1;
if (detect==1)
output.data[indexNB]=255;
else
output.data[indexNB]=0;
}
}
csignal cont2sig(const contour& cont) {
csignal sig;
auto sig_it = sig.begin();
auto cont_it = cont.begin();
for (auto cont_it = cont.begin(); cont_it != cont.end(); ++cont_it) {
*(sig_it++) = complex((*cont_it).x, (*cont_it).y);
for (auto p: cont) {
sig.push_back(complex(p.x, p.y));
}
return sig;
};
@ -35,7 +56,7 @@ namespace math {
csignal diff(const csignal& input, complex mean) {
csignal res;
for (auto x: input) {
res.push_back(x - mean);
res.push_back(x-mean);
}
return res;
}
@ -79,6 +100,8 @@ namespace math {
int opt_size;
if (N < input.size()) {
opt_size = 1 << (int)std::ceil(std::log(input.size())/std::log(2));
} else if (N==0){
opt_size = input.size();
} else {
opt_size = 1 << (int)std::ceil(std::log(N)/std::log(2));
}
@ -89,30 +112,85 @@ namespace math {
return fft_rec(sig);
};
contour coef2cont(const csignal& tfd, complex mean, int size, int cmax) {
contour cont;
auto tf_it = tfd.begin();
auto cont_it = cont.begin();
int kmin = tfd.size()/2 - cmax;
int kmax = tfd.size()/2 + cmax;
void operator*=(csignal& sig, complex& m) {
for(auto x: sig) {
x *= m;
}
}
for (int m=0; m<tfd.size(); ++m) {
void operator*=(csignal& sig, complex&& m) {
for(auto x: sig) {
x *= m;
}
}
void operator/=(csignal& sig, complex& m) {
for(auto x: sig) {
x /= m;
}
}
void operator/=(csignal& sig, complex&& m) {
for(auto x: sig) {
x /= m;
}
}
csignal extract(const csignal& tfd, int cmax) {
csignal res;
for (int k=0; k<cmax; ++k) {
res.push_back(tfd[tfd.size() - cmax + k]);
}
for (int k=cmax; k<2*cmax; ++k) {
res.push_back(tfd[k]);
}
return res;
}
contour sig2cont(const csignal& sig) {
contour res;
for (auto x: sig) {
res.push_back(cv::Point(x.real(), x.imag()));
}
return res;
}
csignal desc2sig(const csignal& desc, complex mean, int N, int kmin) {
csignal cont;
auto desc_it = desc.begin();
for (int m=0; m<N; ++m) {
complex sum;
for (int k=kmin; k<kmax; ++k) {
sum += tfd[k]*std::exp(complex(0, 2*pi()*k*m/tfd.size()));
for (int k=0; k<desc.size(); ++k) {
sum += desc[k]*std::exp(complex(0, 2*pi()*(k+kmin)*m/N));
}
complex zm = mean + sum;
*(cont_it++) = cv::Point(zm.real(), zm.imag());
cont.push_back(mean + sum);
}
return cont;
};
contour simplify_contour(const contour& cont, int cmax) {
contour res;
csignal z = cont2sig(cont);
complex zm = mean(z);
csignal tfd = fft(diff(z, zm));
return coef2cont(tfd, zm, 0, cmax);
tfd /= tfd.size();
csignal desc = extract(tfd, cmax);
if (std::abs(desc[desc.size()-1]) > std::abs(desc[0])) {
std::reverse(desc.begin(), desc.end());
}
double phy = std::arg(desc[desc.size()-1]*desc[0])/2;
desc *= std::exp(complex(0, -phy));
double theta = std::arg(desc[0]);
for (int k=0; k<desc.size(); ++k) {
desc[k] *= std::exp(complex(0, -theta*k));
}
desc /= desc[0];
csignal sig = desc2sig(desc, zm, z.size(), cmax);
return sig2cont(sig);
};
int max_cont(const std::vector<contour>& contours) {
@ -122,7 +200,7 @@ namespace math {
if (contours[i].size() > max) {
max = contours[i].size();
id = i;
}
}
}
return id;
};

30
tests/src/traitement.cpp
View file

@ -28,15 +28,14 @@ int filter(const cv::Mat& img, cv::Mat output, int seuil) {
}
int main(int argc, char** argv) {
int seuil=0;
int seuil=80;
int cmax = 10;
int N = 5000;
if (argc > 1) {
seuil = atol(argv[1]);
}
int cmax = 10;
int N = 5000;
char detect;
cv::VideoCapture cap(0);
if(!cap.isOpened())
@ -44,6 +43,7 @@ int main(int argc, char** argv) {
cv::namedWindow("Image",1);
cv::namedWindow("Detection",1);
cv::namedWindow("Contours",1);
cv::namedWindow("New Contours",1);
while(true) {
int X, Y, DIM, index;
unsigned int numc;
@ -66,15 +66,27 @@ int main(int argc, char** argv) {
cv::imshow("Detection", binaire);
cv::findContours(binaire, contours, hierarchy, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE);
cv::Mat Dessin = cv::Mat::zeros(X,Y, CV_8UC1);
cv::Mat new_contour_image = cv::Mat::zeros(X,Y, CV_8UC1);
int id = math::max_cont(contours);
std::cout << contours[id].size() << std::endl;
if (contours.size() > 0) {
std::vector<std::vector<cv::Point>> contrs;
std::vector<cv::Point> new_cont = math::simplify_contour(contours[id], cmax);
int id = math::max_cont(contours);
contrs.push_back(contours[id]);
cv::drawContours(Dessin, contours, id, 255);
cv::drawContours(Dessin, new_cont, id, 255);
std::cout << "Number of countours: "
<< contours.size()
<< "; Index of biggest contour: "
<< id
<< std::endl;
contrs.push_back(math::simplify_contour(contrs[0], cmax));
cv::drawContours(Dessin, contrs, 0, 255);
cv::drawContours(new_contour_image, contrs, 1, 255);
}
cv::imshow("Contours", Dessin);
cv::imshow("New Contours", new_contour_image);
if(cv::waitKey(30) == 27) {
break;
}