TP OpenCV

main_tp1.cpp

// OpenCV séance 1
// Par Pierre Zemb et Alexis Hellouin

#include <opencv2/opencv.hpp>
#include <cmath>
using namespace cv;

void exercice1() {
	Mat img = imread("/home/pierrezemb/Downloads/lena.jpg");
	imshow("ma fenetre", img);
	waitKey();
}

void exercice2() {
	//Création d'une image de taille 200*200 avec des unsigned car sur 1 canal
	Mat img = Mat::zeros(200,200,CV_8UC1);

	int largeur = img.cols;
	int hauteur = img.rows;

	for (int i = 0; i < largeur/2; i++)
	{
		for (int j = 0; j < hauteur/2; j++)
		{
			img.at<unsigned char>(i,j) = 255;
		}
	}

	imshow("ma fenetre", img);
	waitKey();
}

void exercice3() {
	Mat img = imread("/home/pierrezemb/Downloads/lena.jpg");
	Mat imgcropped1 = img(Rect(0,0,img.cols/2,img.rows/2));
	Mat imgcropped2 = img(Rect(img.cols/2,img.rows/2,img.cols/4,img.rows/4));
	imshow("ma fenetre1", imgcropped1);
	imshow("ma fenetre2", imgcropped2);
	waitKey();
}

void exercice4() {
	vector<Mat> planes;
	Mat imgdst;

	Mat img = imread("/home/pierrezemb/Downloads/lena.jpg");
	cvtColor(img, imgdst, CV_BGR2GRAY);
	// Split permet de récupérer les canaux. on y accède avec [0]
	split(img,planes);

	for (int i = 0; i < 3; ++i)
	{
		std::cout << planes[i] << std::endl;
	}

	imshow("ma fenetre1", imgdst);
	waitKey();
}

void exercice5() {
	Mat img = imread("/home/pierrezemb/Downloads/lena.jpg");
	Mat imgdst;
	int seuil = 100;

	cvtColor(img, imgdst, CV_BGR2GRAY);
	for (int i = 0; i < imgdst.rows; i++)
	{
		for (int j = 0; j < imgdst.cols; j++)
		{
			if (imgdst.at<unsigned char>(i,j) > seuil)
			{
				imgdst.at<unsigned char>(i,j) = 255;
			}
		}
	}
	imshow("ma fenetre1", imgdst);
	waitKey();
}

void exercice6() {
	Mat img = imread("/home/pierrezemb/Downloads/lena.jpg");
	Mat imgdst;
	int thresh = 100;
	threshold(img, imgdst, thresh, 255, THRESH_BINARY);
	imshow("ma fenetre1", imgdst);
	waitKey();
}

void exercice8() {
	Mat imgsrc = Mat::zeros(200, 200, CV_8UC1);
	// dessine un cercle
	// le 1er parametre est l’image sur laquelle dessiner
	// le 2nd paramètre est le centre du cercle
	// le 3ème paramètre son rayon (int)
	// le 4ème paramètre est la couleur (BGR)
	// le 5ème paramètre est l’épaisseur de la ligne circle(imgsrc, Point(50,50), 10, Scalar(255,255,255), 3);
	// dessine une ligne
	
	line(imgsrc, Point(50,50), Point(100,100), Scalar(200,200,200), 3);
	// ecrit un texte
	putText(imgsrc, "ISEN", Point(100, 50), FONT_HERSHEY_SIMPLEX, 1, Scalar(100, 100, 100), 3);
	// dessine un rectangle
	rectangle(imgsrc, Rect(0,0,10,10), Scalar(255,255,255), 3);
	imshow("ma fenetre1", imgsrc);
	waitKey();
	imwrite("monimage.jpg", imgsrc);
}

// void convolCol(Mat imgsrc, Mat& imgdst){

// 	//imgdst = imgsrc;

// 	std::cout << imgsrc.rows << " : " << imgsrc.cols << std::endl;

	

// 	for (int i = 0; i < imgsrc.rows; i++)
// 		{
// 			for (int j = 1; j < imgsrc.cols-1; j++)
// 			{
// 				//std::cout << i<< ":" << j << std::endl;
// 				//std::cout<< "Avant - [" <<i<< ":" << j  <<"]=" << imgdst.at<unsigned char>(i,j) << std::endl;
// 				imgdst.at<unsigned char>(i,j) = (imgsrc.at<unsigned char>(i,j+1) - imgsrc.at<unsigned char>(i,j - 1));
// 				//std::cout<< "Après - [" <<i<< ":" << j  <<"]=" << imgdst.at<unsigned char>(i,j) << std::endl;
// 			}
// 		}
// }
void convolCol(Mat imgsrc, Mat& imgdst){

	imgdst = imgsrc;
	vector<Mat> planes;

	split(imgsrc,planes);

	// Première boucle pour parcourir chaque vecteur
	for (std::vector<Mat>::iterator i = planes.begin(); i != planes.end(); ++i)
	{
		// (*i) correspond à une image
		for (int j = 0; j < (*i).rows; j++)
		{
			for (int k = 1; k < (*i).cols - 1; k++)
			{
				(*i).at<unsigned char>(j,k) = fabs(((*i).at<unsigned char>(j,k+1) - (*i).at<unsigned char>(j,k)));
				//std::cout<<  "après (" << j << ":" << k << ") = " << (*i).at<unsigned char>(j,k) << std::endl;

			}
		}
	}
	merge(planes,imgdst);
}


void convolLig(Mat imgsrc, Mat& imgdst){

	imgdst = imgsrc;
	vector<Mat> planes;

	split(imgsrc,planes);

	// Première boucle pour parcourir chaque vecteur
	for (std::vector<Mat>::iterator i = planes.begin(); i != planes.end(); ++i)
	{
		// (*i) correspond à une image
		for (int j = 1; j < (*i).rows-1; j++)
		{
			for (int k = 0; k < (*i).cols; k++)
			{
				(*i).at<unsigned char>(j,k) = fabs(((*i).at<unsigned char>(j+1,k) - (*i).at<unsigned char>(j,k)));
				//std::cout<<  "après (" << j << ":" << k << ") = " << (*i).at<unsigned char>(j,k) << std::endl;

			}
		}
	}
	merge(planes,imgdst);
}

void convolCarre(Mat imgsrc, Mat& imgdst){

	imgdst = imgsrc;
	vector<Mat> planes;
	double carre1,carre2;
	//int i = 0;

	split(imgsrc,planes);

	// Première boucle pour parcourir chaque vecteur de l'image
	for (std::vector<Mat>::iterator i = planes.begin(); i != planes.end(); ++i)
	{
		// (*i) correspond à une image
		for (int j = 0; j < (*i).rows; j++)
		{
			for (int k = 0; k < (*i).cols; k++)
			{
				carre1 = pow(((*i).at<unsigned char>(j,k+1) - (*i).at<unsigned char>(j,k)),2);
				//std::cout << carre1 << std::endl;
				carre2 = pow(((*i).at<unsigned char>(j+1,k) - (*i).at<unsigned char>(j,k)),2);
				(*i).at<unsigned char>(j,k) = pow(carre1+carre2,0.5);
				//std::cout << pow(carre1+carre2,0.5) << std::endl;

			}
		}
		imshow("ma fenetre", (*i));
		waitKey();
	}
	merge(planes,imgdst);
}

void exercice9() {
	//Mat imgsrc = imread("/home/pierrezemb/Downloads/lena.jpg");
		Mat imgsrc = Mat::zeros(200,200,CV_8UC1);

	int largeur = imgsrc.cols;
	int hauteur = imgsrc.rows;

	for (int i = 0; i < largeur/2; i++)
	{
		for (int j = 0; j < hauteur/2; j++)
		{
			imgsrc.at<unsigned char>(i,j) = 255;
		}
	}
	imshow("ma fenetre1", imgsrc);
	waitKey();		
	Mat imgdst;
	//convolCol(imgsrc,imgdst);
	//convolLig(imgsrc,imgdst);
	convolCarre(imgsrc,imgdst);
	imshow("ma fenetre1", imgdst);
	waitKey();

}

int main(int argc, char *argv[]) {
	exercice9();
}

main_tp2.cpp

// OpenCV séance 2
// 23 Mars 2015
// Par Pierre Zemb et Alexis Hellouin

#include <opencv2/opencv.hpp>
#include <cmath>
using namespace cv;

// Inversion d'une image
void exercice1() {
	
	Mat lena_gris;
	// On charge l'image
	Mat lena = imread("/home/pierrezemb/Downloads/lena.jpg");

	imshow("lena normal", lena);
	waitKey();

	cvtColor(lena, lena_gris, CV_BGR2GRAY);

	imshow("lena en niveau de gris", lena_gris);
	waitKey();

	//Création d'une image de taille identique à img avec des unsigned car sur 1 canal
	Mat lena_inverse = Mat::zeros(lena.cols,lena.rows,CV_8UC1);

	// On boucle sur chaque pixel de l'image
	for (int i = 0; i < lena_inverse.rows; i++) {
		for (int j = 0; j < lena_inverse.cols; j++) {
			lena_inverse.at<unsigned char>(i,j) = 255 - lena_gris.at<unsigned char>(i,j);
		}
	}

	imshow("lena en gris inversé", lena_inverse);
	waitKey();
}

void exercice2(){

}

void exercice3() {

	Mat lena = imread("/home/pierrezemb/Downloads/lena.jpg");
	Mat lena_gris;
	cvtColor(lena, lena_gris, CV_BGR2GRAY);
	Mat result = Mat::zeros(lena.cols,lena.rows,CV_8UC1);
	imshow("image d'origine", lena_gris);
	waitKey();
	
	// https://stackoverflow.com/questions/6302171/convert-uchar-mat-to-float-mat-in-opencv
	// CV_32FC1 correspond au type float
	
	// Définition de h1
	Mat h1(1,3,CV_32FC1);
	h1.at<float>(0,0) = -1.0;
	h1.at<float>(0,2) = 1.0;

	// Définition de h2
	Mat h2(3,1,CV_32FC1);
	h2.at<float>(0,0) = -1.0;
	h2.at<float>(2,0) = 1.0;

	// Définition de h3
	Mat h3(3,3,CV_32FC1);
	h3.at<float>(0,0) = -1;
	h3.at<float>(1,0) = -2;
	h3.at<float>(2,0) = -1;
	h3.at<float>(0,2) = 1;
	h3.at<float>(1,2) = 2;
	h3.at<float>(2,2) = 1;

	// Définition de h4
	Mat h4(3,3,CV_32FC1);
	h4.at<float>(0,0) = -1;
	h4.at<float>(0,1) = -2;
	h4.at<float>(0,2) = -1;
	h4.at<float>(2,0) = 1;
	h4.at<float>(2,1) = 2;
	h4.at<float>(2,2) = 1;

	// Définition de h5
	Mat h5(3,3,CV_32FC1);
	h5.at<float>(0,1) = 1;
	h5.at<float>(1,0) = 1;
	h5.at<float>(1,1) = -4;
	h5.at<float>(1,2) = 1;
	h5.at<float>(2,1) = 1;

	Mat h6 = Mat::ones(3,3,CV_32FC1);
	for (int i = 0; i < h6.rows; ++i)
	{
		for (int j = 0; j < h6.cols; ++j)
		{
			h6.at<float>(i,j) = h6.at<float>(i,j)/9;
		}
	}
	// Définition de h7
	Mat h7(3,3,CV_32FC1);
	h7.at<float>(0,1) = -1;
	h7.at<float>(1,0) = -1;
	h7.at<float>(1,1) = 5;
	h7.at<float>(1,2) = -1;
	h7.at<float>(2,1) = -1;


	//  filter2D(InputArray src, OutputArray dst, int ddepth, InputArray kernel, Point anchor=Point(-1,-1), double delta=0, int borderType=BORDER_DEFAULT )
	// when ddepth=-1, the output image will have the same depth as the source.

	filter2D(lena_gris,result,-1,h1,Point( -1, -1 ), 0, BORDER_DEFAULT );
	imwrite("filtre h1.jpg", result);
	filter2D(lena_gris,result,-1,h2,Point( -1, -1 ), 0, BORDER_DEFAULT );
	imwrite("filtre h2.jpg", result);
	filter2D(lena_gris,result,-1,h3,Point( -1, -1 ), 0, BORDER_DEFAULT );
	imwrite("filtre h3.jpg", result);
	filter2D(lena_gris,result,-1,h4,Point( -1, -1 ), 0, BORDER_DEFAULT );
	imwrite("filtre h4.jpg", result);
	filter2D(lena_gris,result,-1,h5,Point( -1, -1 ), 0, BORDER_DEFAULT );
	imwrite("filtre h5.jpg", result);
	filter2D(lena_gris,result,-1,h6,Point( -1, -1 ), 0, BORDER_DEFAULT );
	imwrite("filtre h6.jpg", result);
	filter2D(lena_gris,result,-1,h7,Point( -1, -1 ), 0, BORDER_DEFAULT );
	imwrite("filtre h7.jpg", result);
}


int main(int argc, char *argv[]) {
	exercice3();
}

Makefile_OpenCV

all:
	g++ -O2 -Wall -o tp1 main.cpp `pkg-config --cflags --libs opencv`
clean:
	rm -rf tp1

could you please give me the PDF file of the exercices .?