Create line_cor.py

line_cor.py

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+
+# use this command to install open cv2
+# pip install opencv-python
+
+# use this command to install PIL
+# pip install Pillow
+
+import cv2
+from PIL import Image
+
+def mark_region(imagE_path):
+    
+    im = cv2.imread(image_path)
+
+    gray = cv2.cvtColor(im, cv2.COLOR_BGR2GRAY)
+    blur = cv2.GaussianBlur(gray, (9,9), 0)
+    thresh = cv2.adaptiveThreshold(blur,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY_INV,11,30)
+
+    # Dilate to combine adjacent text contours
+    kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (9,9))
+    dilate = cv2.dilate(thresh, kernel, iterations=4)
+
+    # Find contours, highlight text areas, and extract ROIs
+    cnts = cv2.findContours(dilate, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
+    cnts = cnts[0] if len(cnts) == 2 else cnts[1]
+
+    line_items_coordinates = []
+    for c in cnts:
+        area = cv2.contourArea(c)
+        x,y,w,h = cv2.boundingRect(c)
+
+        if y >= 600 and x <= 1000:
+            if area > 10000:
+                image = cv2.rectangle(im, (x,y), (2200, y+h), color=(255,0,255), thickness=3)
+                line_items_coordinates.append([(x,y), (2200, y+h)])
+
+        if y >= 2400 and x<= 2000:
+            image = cv2.rectangle(im, (x,y), (2200, y+h), color=(255,0,255), thickness=3)
+            line_items_coordinates.append([(x,y), (2200, y+h)])
+
+
+    return image, line_items_coordinates