Complete DIP assignments main

1 files changed, 53 insertions, 0 deletions

diff --git a/opencv/code/a14.py b/opencv/code/a14.py
new file mode 100644
index 0000000..ec04f27
--- /dev/null
+++ b/opencv/code/a14.py
@@ -0,0 +1,53 @@
+from matplotlib import pyplot as plt
+import cv2
+import numpy as np
+
+img = cv2.imread("1i.png", 0)
+laplacian = cv2.Laplacian(img, -1, None, 3)
+
+robert_x_kernel = np.array([[-1, 0], [0, 1]])
+robert_y_kernel = np.array([[0, -1], [1, 0]])
+robert_x = cv2.filter2D(img, -1, robert_x_kernel)
+robert_y = cv2.filter2D(img, -1, robert_y_kernel)
+robert_combined = cv2.bitwise_or(robert_x, robert_y)
+
+prewitt_x_kernel = np.array([[-1, -1, -1], [0, 0, 0], [1, 1, 1]])
+prewitt_y_kernel = np.array([[-1, 0, 1], [-1, 0, 1], [-1, 0, 1]])
+prewitt_x = cv2.filter2D(img, -1, prewitt_x_kernel)
+prewitt_y = cv2.filter2D(img, -1, prewitt_y_kernel)
+prewitt_combined = cv2.bitwise_or(prewitt_x, prewitt_y)
+
+sx = cv2.Sobel(img, cv2.CV_64F, 1, 0)
+sy = cv2.Sobel(img, cv2.CV_64F, 0, 1)
+sobel_x = np.uint8(np.absolute(sx))
+sobel_y = np.uint8(np.absolute(sy))
+sobel_combined = cv2.bitwise_or(sobel_x, sobel_y)
+
+empty = np.zeros(img.shape, dtype=np.uint8)
+
+data = [
+    (img, "Original Image"),
+    (laplacian, "Laplacian"),
+    (robert_x, "Robert in x direction"),
+    (robert_y, "Robert in y direction"),
+    (robert_combined, "Combined Robert"),
+    (prewitt_x, "Prewitt in x direction"),
+    (prewitt_y, "Prewitt in y direction"),
+    (prewitt_combined, "Combined Prewitt"),
+    (sobel_x, "Sobel in x direction"),
+    (sobel_y, "Sobel in y direction"),
+    (sobel_combined, "Combined Sobel"),
+    (empty, ""),
+]
+
+fig, axs = plt.subplots(3, 4, figsize=(10, 7))
+
+for ax, (image, title) in zip(axs.flat, data):
+    if image is not img:
+        image = 255 - image
+    ax.imshow(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))
+    ax.set_title(title, fontsize=10)
+    ax.axis("off")
+
+plt.tight_layout()
+plt.savefig("14.svg")