matriz *inv(matriz **m)
{
int indice;
matriz *result;
printf("Qual o indice da matriz que deseja calcular a inversa: ");
scanf("%d",&indice);
if(indice>numeroMatrizes-1)
return NULL;
result=inversao(m[indice]);
visualizaMatriz(result);
return result;
int main(int argc, char ** argv)
{
string gauss = "Gaussino";
string canny = "Canny";
string hough = "Hough";
string binarizar = "Binarizar";
string Otsu = "Otsu";
string image_name = "";
int number;
Point min, max, start;
ofstream myfile;
myfile.open("data.txt");
myfile << "ESCREVE QUALQUER COISA\n";
clock_t t1, t2, t3, t4;
double threshold1, threshold2, thres, minLength, maxGap;
bool f1, f2, f3, f4, f5, f6, f7, f8, f9;
string Result;
ostringstream convert;
//int i;
float temp;
//for (i = 1; i <= 6; i++){
//number = i;
//convert << number;
//Result = convert.str();
//image_name = "a" + Result + ".JPG";
image_name = "a2.JPG";
//number++;
//cout << number << endl;
cout << image_name;
myfile << image_name;
myfile << "\n";
t1 = clock();
f1 = false;
f2 = true;
f3 = false;
f4 = false;
f5 = false;
f6 = true;
f7 = true;
if (f7 == true){
threshold1 = 10;
threshold2 = 19;
}
f8 = false;
f9 = true;
if (f9 == true){
thres = 10;// 40
minLength = 20; //50
maxGap = 30; //80
/*
CvCapture* capture = cvCaptureFromCAM( CV_CAP_ANY );
if ( !capture ) {
fprintf( stderr, "ERROR: capture is NULL \n" );
getchar();
return -1;
}
string original = "original.jpg";
string foto ="img";
IplImage* frame = cvQueryFrame( capture );
Mat img(frame);
Mat I, I1, imge;
cvtColor(img,imge,CV_RGB2GRAY);
imge.convertTo(I, CV_8U);
equalizeHist(I,I1);
Mat aux = I1;
savePictures(I1, original, foto);
*/
//realiza a leitura e carrega a imagem para a matriz I1
// a imagem tem apenas 1 canal de cor e por isso foi usado o parametro CV_LOAD_IMAGE_GRAYSCALE
Mat lara = imread("lara.JPG", CV_LOAD_IMAGE_GRAYSCALE);
Mat I = imread(image_name, CV_LOAD_IMAGE_GRAYSCALE);
if (I.empty())
return -1;
resize(I, I, lara.size(), 1.0, 1.0, INTER_LINEAR);
Mat I1;
//Mat aux = imread(argv[1], CV_LOAD_IMAGE_GRAYSCALE);
equalizeHist(I, I1);
Mat aux, original;
aux = I1;
//ShowImage(I, I1);
// verifica se carregou e alocou a imagem com sucesso
if (I1.empty())
return -1;
// tipo Size contem largura e altura da imagem, recebe o retorno do metodo .size()
//imSize = I1.size();
// Cria uma matriz do tamanho imSize, de 8 bits e 1 canal
Mat I2 = Mat::zeros(I1.size(), CV_8UC1);
if (f2 == true) {
t2 = clock();
for (int i = 1; i < MAX_KERNEL_LENGTH; i = i + 2)
GaussianBlur(I1, I1, Size(i, i), 0, 0, BORDER_DEFAULT);
//ShowImage(aux, I1);
cout << "Guassiano tempo : ";
temp = tempo(t2);
savePictures(I1, image_name, gauss);
myfile << "Gauss: ";
myfile << temp;
myfile << "\n";
}
if (f1 == true){
t2 = clock();
binarizacao(I1, 125);
//ShowImage(aux, I1);
cout << "binarizacao : ";
temp = tempo(t2);
savePictures(I1, image_name, binarizar);
myfile << "Binarizacao: ";
myfile << temp;
myfile << "\n";
}
if (f3 == true){
t2 = clock();
inversao(I1);
cout << "inversao : ";
tempo(t2);
}
if (f4 == true){
adaptiveThreshold(I1, I1, 255, ADAPTIVE_THRESH_GAUSSIAN_C, CV_THRESH_BINARY, 7, 0);
}
if (f5 == true)
Laplacian(I1, I1, 125, 1, 1, 0, BORDER_DEFAULT);
if (f7 == true){
t2 = clock();
Canny(I1, I2, threshold1, threshold2, 3, false);
cout << "canny : ";
temp = tempo(t2);
savePictures(I2, image_name, canny);
myfile << "Canny: " + (int)(temp * 1000);
myfile << "\n";
}
if (f9 == true){
t2 = clock();
Hough(I2, aux, thres, minLength, maxGap);
cout << "hough : ";
temp = tempo(t2);
savePictures(aux, image_name, hough);
myfile << "Hough: ";
myfile << temp;
myfile << "\n";
}
if (f6 == true){
t2 = clock();
threshold_type = THRESH_BINARY;
threshold(aux, I1, 9, max_BINARY_value, threshold_type);
cout << "Threshold : ";
//savePictures(aux, image_name, Otsu);
temp = tempo(t2);
myfile << "Threshold/OTSU: ";
myfile << temp;
myfile << "\n";
}
string name = Otsu + image_name;
imwrite(name, aux);
ShowImage(I1, aux);
t2 = clock();
max = maxPoint(aux);
min = minPoint(aux);
/*start.y = (max.y + min.y) / 2;
start.x = (max.x + min.x) /2;*/
start.x = max.x;
start.y = max.y;
Point end;
end.x = start.x;
end.y = aux.size().height;
MyLine(I, start, end, image_name, 0.3);
temp = tempo(t2);
ShowImage(I, aux);
myfile << "Rota: ";
myfile << temp;
myfile << "\n";
temp = tempo(t1);
cout << "Final time : ";
myfile << "Final Time: ";
myfile << temp;
myfile << "\n";
//float angle = Angle(aux, min, 5);
//cout << angle;
}
//}
myfile.close();
//ShowImage(aux, I1);
//imwrite(argv[2], I2); // salva imagem I2 no arquivo definido pelo usuario em argv[2]
//}
return 0;
}
