Zadanie 12

lpo-projekt-v2/src/core/transformations/corner_harris.cpp

@@ -25,8 +25,109 @@ PNM* CornerHarris::transform()
         height = image->height();
 
     PNM* newImage = new PNM(width, height, QImage::Format_Mono);
+        math::matrix<double>
+            imx(width, height),
+            imy(width, height),
+            imxy(width, height),
+            corncan(width, height),
+            cornnonsup(width, height);
+        PNM* tempImage = ConversionGrayscale(image).transform();
 
-    qDebug() << Q_FUNC_INFO << "Not implemented yet!";
+        BlurGaussian blurGauss(tempImage);
+        blurGauss.setParameter("size", 3);
+        blurGauss.setParameter("sigma", 3.6);
 
-    return newImage;
+        tempImage = blurGauss.transform();
+
+        EdgeSobel edgsob(tempImage);
+
+        math::matrix<float>* xgra = edgsob.rawHorizontalDetection();
+        math::matrix<float>* ygra = edgsob.rawVerticalDetection();
+
+        for (int x = 0; x < width; x++)
+        {
+            for (int y = 0; y < height; y++)
+            {
+                double xgraphic = (*xgra)(x, y), ygraphic = (*ygra)(x, y);
+                imx(x, y) = xgraphic * xgraphic;
+                imy(x, y) = ygraphic * ygraphic;
+                imxy(x, y) = xgraphic * ygraphic;
+            }
+        }
+
+        for (int x = 0; x < width; x++)
+        {
+            for (int y = 0; y < height; y++)
+            {
+                if (x == 0 || x == width - 1 || y == 0 || y == height - 1)
+                {
+                    corncan(x, y) = 0;
+                    cornnonsup(x, y) = 0;
+                }
+                else
+                {
+                    double sx = 0, sy = 0, sxy = 0;
+                    for (int k = -1; k < 2; k++)
+                    {
+                        for (int j = -1; j < 2; j++)
+                        {
+                            double g_val = BlurGaussian::getGauss(k, j, sigma);
+                            sx += imx(x + k, y + j)*g_val;
+                            sy += imy(x + k, y + j)*g_val;
+                            sxy += imxy(x + k, y + j)*g_val;
+                        }
+                    }
+                    sx /= sigma_weight;
+                    sy /= sigma_weight;
+                    sxy /= sigma_weight;
+                    math::matrix<double> H(2, 2);
+                    H(0, 0) = sx; H(1, 1) = sy; H(0, 1) = sxy; H(1, 0) = sxy;
+                    double r = H(0, 0)*H(1, 1) - H(0, 1)*H(1, 0) - k_param*pow(H(0, 0) + H(1, 1), 2);
+                    corncan(x, y) = (r > threshold) ? r : 0;
+                }
+            }
+        }
+
+        bool maknonsup = true;
+
+        while (maknonsup)
+        {
+            maknonsup = false;
+            for (int x = 1; x < width - 1; x++)
+            {
+                for (int y = 1; y < height - 1; y++)
+                {
+                    double val = corncan(x, y);
+                    if (val > corncan(x - 1, y - 1) && val > corncan(x - 1, y) && val > corncan(x - 1, y + 1) && val > corncan(x, y - 1) && val > corncan(x, y + 1) && val > corncan(x + 1, y - 1) && val > corncan(x + 1, y) && val > corncan(x + 1, y + 1))
+                    {
+                        cornnonsup(x, y) = val;
+                    }
+                    else
+                    {
+                        if (val > 0)
+                        {
+                            maknonsup = true;
+                        }
+                        cornnonsup(x, y) = 0;
+                    }
+                }
+            }
+            corncan = cornnonsup;
+        }
+
+        for (int x = 0; x < width; x++)
+        {
+            for (int y = 0; y < height; y++)
+            {
+                if (corncan(x, y) == 0){
+                    newImage->setPixel(x, y, 0);
+                }
+                else
+                {
+                    newImage->setPixel(x, y, 1);
+                }
+            }
+        }
+
+        return newImage;
 }