first commit

edge_detection.py

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+# Canny Edge Detection.
+import cv2
+import numpy as np
+import glob
+import os
+from matplotlib import pyplot as plt
+from PIL import Image
+
+DIR_PATH = '../Images/*'
+
+# Read all images.
+all_files_dir = glob.glob(DIR_PATH)
+
+for file_item in all_files_dir:
+    try:
+        # Read image from disk.
+        img = cv2.imread(file_item)
+
+        # Canny edge detection.
+        edges = cv2.Canny(img, 100, 200)
+
+        filename = os.path.basename(file_item).split('.')[0]
+        cv2.imwrite(filename + '_l.jpg', edges)
+    except IOError:
+        print ('Error while reading files!!!')

laplacian_gradient.py

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+# Image Processing.
+import cv2
+import numpy as np
+import glob
+import os
+from matplotlib import pyplot as plt
+from PIL import Image
+
+DIR_PATH = '../Images/*'
+
+# Read all images.
+all_files_dir = glob.glob(DIR_PATH)
+
+for file_item in all_files_dir:
+    try:
+        # Read image from disk.
+        img = cv2.imread(file_item)
+
+        # Laplacian filter.
+        laplacian = cv2.Laplacian(img, cv2.CV_64F)
+        # Sobel : Derivative along 'x' direction.
+        sobelx = cv2.Sobel(img, cv2.CV_64F, 1, 0, ksize=5)
+        # Sobel : Derivative along 'y' direction.
+        sobely = cv2.Sobel(img, cv2.CV_64F, 0, 1, ksize=5)
+
+        filename = os.path.basename(file_item).split('.')[0]
+        cv2.imwrite(filename + '_l.jpg', laplacian)
+        cv2.imwrite(filename + '_sx.jpg', sobelx)
+        cv2.imwrite(filename + '_sy.jpg', sobely)
+    except IOError:
+        print ('Error while reading files!!!')

rotation.py

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+# Image Rotation.
+import cv2
+import numpy as np
+import glob
+import os
+from PIL import Image
+
+DIR_PATH = '../Images/*'
+
+# Read all images.
+all_files_dir = glob.glob(DIR_PATH)
+
+for file_item in all_files_dir:
+    try:
+        # Read image from disk.
+        img = cv2.imread(file_item)
+        (rows, cols) = img.shape[:2]
+
+        # Rotation w.r.t center to 45 without scaling.
+        M = cv2.getRotationMatrix2D((cols/2, rows/2), 45, 1)
+        res = cv2.warpAffine(img, M, (cols, rows))
+
+        # Write image back to disk.
+        filename = os.path.basename(file_item).split('.')[0]
+        cv2.imwrite(filename + '_r.jpg', res)
+    except IOError:
+        print ('Error while reading files!!!')
+
+

scaling.py

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+# Image Processing.
+import cv2
+import numpy as np
+import glob
+import os
+from PIL import Image
+
+DIR_PATH = '../Images/*'
+
+# Read all images.
+all_files_dir = glob.glob(DIR_PATH)
+
+for file_item in all_files_dir:
+    try:
+        # Read image from disk.
+        img = cv2.imread(file_item)
+        filename = os.path.basename(file_item).split('.')[0]
+        (height, width) = img.shape[:2]
+        res = cv2.resize(img, (2*width, 2*height), interpolation=cv2.INTER_CUBIC)
+        # Write image back to disk.
+        cv2.imwrite(filename + '_.jpg' ,res)
+    except IOError:
+        print ('Error while reading files!!!')
+
+

translation.py

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+# Image Translation (Shifting the object).
+import cv2
+import numpy as np
+import glob
+import os
+from PIL import Image
+
+DIR_PATH = '../Images/*'
+
+# Read all images.
+all_files_dir = glob.glob(DIR_PATH)
+
+# Create translation matrix.
+# If the shift is (x, y) then matrix would be
+# M = [1 0 x]
+#     [0 1 y]
+
+# Let's shift by (100, 50).
+M = np.float32([[1, 0, 100], [0, 1, 50]])
+
+for file_item in all_files_dir:
+    try:
+        # Read image from disk.
+        img = cv2.imread(file_item)
+        (rows, cols) = img.shape[:2]
+
+        filename = os.path.basename(file_item).split('.')[0]
+
+        res = cv2.warpAffine(img, M, (cols, rows))
+        # Write image back to disk.
+        cv2.imwrite(filename + '_t.jpg', res)
+    except IOError:
+        print ('Error while reading files!!!')
+
+