Update pages/Data Collection.py

pages/Data Collection.py

@@ -836,7 +836,7 @@ def image_details_page():
         
         # Heading for the section
         st.markdown("""
-                <h3 style="color: #9400d3;">Splitting and Recombining Color Channels</h3>
+                <h3 style="color: #9400d3;">Splitting Channels </h3>
             """, unsafe_allow_html=True)
         
         # Code Example for Splitting and Merging Color Channels
@@ -855,13 +855,49 @@ def image_details_page():
             cv2.imshow("Blue_channel", blue_channel)
             cv2.imshow("Green_channel", green_channel)
             cv2.imshow("Red_channel", red_channel)
-            cv2.imshow("Original_img", cv2.merge([b, g, r]))
             cv2.waitKey(0)
             cv2.destroyAllWindows()
         """, language="python")
         
         st.image("https://huggingface.co/spaces/hari3485/DiveIntoML/resolve/main/Images/BGR%20to%20Split.jpg")
 
+        st.markdown("""
+                <h3 style="color: #9400d3;">Combining Channels </h3>
+            """, unsafe_allow_html=True)
+
+        st.write("""
+        The `cv2.merge()` function in OpenCV is used to combine separate single-channel arrays (such as the individual Red, Green, and Blue channels) into a single multi-channel image.  
+        This is particularly useful when you have split an image into its component channels and then want to reassemble them into the original format.  
+        For example, you can merge the individual Red, Green, and Blue channels back into a single RGB (or BGR in OpenCV) image.
+        """)
+
+        
+        # Code Example for Splitting and Merging Color Channels
+        st.code("""
+            img = cv2.imread("path of the image")   # Load the image
+            
+            b, g, r = cv2.split(img)  # Separate the image into Blue, Green, and Red channels
+            
+            zeros = np.zeros(img.shape[:-1], dtype=np.uint8)   # Create a blank array for the empty channels
+            
+            blue_channel = cv2.merge([b, zeros, zeros])    # The Blue channel has blue set to 255, and red and green to 0
+            green_channel = cv2.merge([zeros, g, zeros])   # The Green channel has green set to 255, and red and blue to 0
+            red_channel = cv2.merge([zeros, zeros, r])     # The Red channel has red set to 255, and green and blue to 0
+            
+            # Show the separate color channels and the original image
+            cv2.imshow("Blue_channel", blue_channel)
+            cv2.imshow("Green_channel", green_channel)
+            cv2.imshow("Red_channel", red_channel)
+            cv2.imshow("Original_img", cv2.merge([b, g, r]))
+            cv2.waitKey(0)
+            cv2.destroyAllWindows()
+        """, language="python")
+
+
+        
+
+
+        
         # Title of the app
         st.markdown("""
         <h3 style="color: #9400d3;">Converting colour spaces</h3>