L17

Author: Levyathanus

L17_gradients_edge_detection.py

@@ -0,0 +1,27 @@
+import cv2, numpy as np
+from matplotlib import pyplot as plt
+
+#img = cv2.imread('./opencv/samples/data/messi5.jpg', cv2.IMREAD_GRAYSCALE)
+img = cv2.imread('./opencv/samples/data/sudoku.png', cv2.IMREAD_GRAYSCALE)
+
+# Laplacian(img, dataType(64 bit float), kernel_size(ksize))
+lap = cv2.Laplacian(img, cv2.CV_64F, ksize = 3) # trova i contorni
+lap = np.uint8(np.absolute(lap)) # conversione a uint8
+
+# Sobel(img, dataType, bool(dx), bool(dy), kernel_size)
+sobelX = cv2.Sobel(img, cv2.CV_64F, 1, 0)
+sobelY = cv2.Sobel(img, cv2.CV_64F, 0, 1)
+sobelX = np.uint8(np.absolute(sobelX))
+sobelY = np.uint8(np.absolute(sobelY))
+sobel_combined = cv2.bitwise_or(sobelX, sobelY)
+
+
+titles = ['image', 'Laplacian', 'SobelX', 'SobelY', 'SobelCombined']
+images = [img, lap, sobelX, sobelY, sobel_combined]
+
+for i in range(len(images)):
+    plt.subplot(2, 3, i+1), plt.imshow(images[i], 'gray')
+    plt.title(titles[i])
+    plt.xticks([]), plt.yticks([])
+
+plt.show()