void filtruGeneral(int w) {
	char fname[MAX_PATH];
	openFileDlg(fname);

	Mat img = imread(fname, CV_LOAD_IMAGE_GRAYSCALE);
	imshow("Imaginea initiala", img);

	Mat dst = img.clone();


	int H[3][3] =
	{ { 0, -1, 0 },
	{ -1, 5, -1 },
	{ 0, -1, 0 } };

	int Splus = 0;
	int Sminus = 0;

	int k = w / 2;
	double fs = 0;

	for (int j = -k; j <= k; j++) {
		for (int i = -k; i <= k; i++) {
			if (H[j + k][i + k] > 0) {
				Splus += H[j + k][i + k];
			}
			else if (H[j + k][i + k]<0) {
				Sminus -= H[j + k][i + k];
			}
		}
	}

	fs = 1.0 / (2.0*max(Splus, Sminus));

	for (int y = k; y < img.rows - k; y++) {
		for (int x = k; x < img.cols - k; x++) {
			int aux = 0;
			for (int i = -k; i <= k; i++) {
				for (int j = -k; j <= k; j++) {
					aux += img.at<uchar>(x + j, y + i)*H[j + k][i + k];
				}
				dst.at<uchar>(x, y) = aux * fs + 127;
			}
		}
	}

	imshow("Imagine rezultat", dst);
	waitKey(0);

}


void filtruMedieAritmetica(int w) {
	char fname[MAX_PATH];
	openFileDlg(fname);

	Mat img = imread(fname, CV_LOAD_IMAGE_GRAYSCALE);
	imshow("Imaginea initiala", img);

	Mat dst = img.clone();

	int H[3][3] =
	{ { 1, 1, 1 },
	{ 1, 1, 1 },
	{ 1, 1, 1 } };


	int k = (w - 1) / 2;

	int c = 0;
	for (int j = 0; j <= w - 1; j++) {
		for (int i = 0; i <= w - 1; i++) {
			c += H[j][i];
		}
	}

	for (int y = k; y < img.rows - k; y++) {
		for (int x = k; x < img.cols - k; x++) {
			int aux = 0;
			for (int i = -k; i <= k; i++) {
				for (int j = -k; j <= k; j++) {
					aux += img.at<uchar>(x + j, y + i)*H[j + k][i + k];
				}
				dst.at<uchar>(x, y) = aux / c;
			}
		}
	}

	imshow("Imagine Rezultat", dst);
	waitKey(0);


}

void filtruGausian(int w) {
	char fname[MAX_PATH];
	openFileDlg(fname);

	Mat img = imread(fname, CV_LOAD_IMAGE_GRAYSCALE);
	imshow("Imaginea initiala", img);

	Mat dst = img.clone();

	int H[3][3] =
	{ { 1, 2, 1 },
	{ 2, 4, 2 },
	{ 1, 2, 1 } };


	int k = (w - 1) / 2;

	int c = 0;
	for (int j = 0; j <= w - 1; j++) {
		for (int i = 0; i <= w - 1; i++) {
			c += H[j][i];
		}
	}

	for (int y = k; y < img.rows - k; y++) {
		for (int x = k; x < img.cols - k; x++) {
			int aux = 0;
			for (int i = -k; i <= k; i++) {
				for (int j = -k; j <= k; j++) {
					aux += img.at<uchar>(x + j, y + i)*H[j + k][i + k];
				}
				dst.at<uchar>(x, y) = aux / c;
			}
		}
	}

	imshow("Imagine Rezultat", dst);
	waitKey(0);


}

void filtruTreceSusFrecvential(int w) {
	char fname[MAX_PATH];
	openFileDlg(fname);

	Mat img = imread(fname, CV_LOAD_IMAGE_GRAYSCALE);
	imshow("Imaginea initiala", img);

	Mat dst = img.clone();

	int H[3][3] =
	{ { 0, -1, 0 },
	{ -1, 5, -1 },
	{ 0, -1, 0 } };

	int Splus = 0;
	int Sminus = 0;

	int k = w / 2;
	double fs = 0;

	for (int j = -k; j <= k; j++) {
		for (int i = -k; i <= k; i++) {
			if (H[j + k][i + k] > 0) {
				Splus += H[j + k][i + k];
			}
			else if (H[j + k][i + k]<0) {
				Sminus -= H[j + k][i + k];
			}
		}
	}

	fs = 1.0 / (2.0*max(Splus, Sminus));

	for (int y = k; y < img.rows - k; y++) {
		for (int x = k; x < img.cols - k; x++) {
			int aux = 0;
			for (int i = -k; i <= k; i++) {
				for (int j = -k; j <= k; j++) {
					aux += img.at<uchar>(x + j, y + i)*H[j + k][i + k];
				}
				dst.at<uchar>(x, y) = aux * fs + 127;
			}
		}
	}

	imshow("Rezultat", dst);
	waitKey(0);
}