diff --git a/Q2main.py b/Q2main.py
index e23637a811531ddba555ae6ce90e5a08f18d9217..b3159a4dd363c1c2d1c9b1bac7b0bc910f0a1390 100644
--- a/Q2main.py
+++ b/Q2main.py
@@ -1,6 +1,8 @@
 import cv2
 import matplotlib.pyplot as plt
 import numpy as np
+from skimage.color import rgb2gray
+from skimage.feature import blob_log
 
 class ImageProcessor:
     def __init__(self, image_path):
@@ -45,7 +47,28 @@ class ImageProcessor:
         green_mask = cv2.inRange(self.image_hsv, lower_green, upper_green)
 
         return red_mask, yellow_mask, green_mask
-    
+
+def detect_blobs(mask, min_sigma=3, max_sigma=15, num_sigma = 3, threshold=0.5):
+    mask = mask.astype(np.float64) / 255.0 
+    #print('mask made')
+    blobs = blob_log(mask, min_sigma=min_sigma, max_sigma=max_sigma, num_sigma=num_sigma, threshold=threshold)
+    #print('blobs detected')
+    if len(blobs) > 0:
+        blobs[:,2] = blobs[:, 2]*np.sqrt(2)
+    return blobs
+
+def plot_detected_blobs(mask, blobs, title):
+    fig, ax = plt.subplots(figsize=(6,6))
+    ax.imshow(mask, cmap='gray')
+    ax.set_title(title)
+    ax.axis("off")
+
+    for blob in blobs:
+        y, x, r = blob
+        circle =plt.Circle((x,y), r, color = 'red', linewidth = 2, fill = False)
+        ax.add_patch(circle)
+
+    plt.show()
 class Plotter:
 
     @staticmethod
@@ -121,6 +144,36 @@ class Plotter:
         axes[2].axis("off")
 
         plt.show()
+    
+    @staticmethod
+    def plot_blobs(red_mask, yellow_mask, green_mask, red_blobs, yellow_blobs, green_blobs):
+        fig, axes = plt.subplots(1, 3, figsize=(18,6))
+
+        axes[0].imshow(red_mask, cmap ='gray')
+        axes[0].set_title("Red blobs")
+        axes[0].axis("off")
+        for blob in red_blobs:
+            y, x, r = blob
+            circle = plt.Circle((x,y), r, color ='red', linewidth = 2, fill = False)
+            axes[0].add_patch(circle)
+
+        axes[1].imshow(yellow_mask, cmap ='gray')
+        axes[1].set_title("Yellow blobs")
+        axes[1].axis("off")
+        for blob in yellow_blobs:
+            y, x, r = blob
+            circle = plt.Circle((x,y), r, color ='yellow', linewidth = 2, fill = False)
+            axes[1].add_patch(circle)
+
+        axes[2].imshow(green_mask, cmap ='gray')
+        axes[2].set_title("Green blobs")
+        axes[2].axis("off")
+        for blob in green_blobs:
+            y, x, r = blob
+            circle = plt.Circle((x,y), r, color ='green', linewidth = 2, fill = False)
+            axes[2].add_patch(circle)
+
+        plt.show()
 
 image_path = "traffic_light_image_1.png"
 processor = ImageProcessor(image_path)
@@ -128,19 +181,27 @@ red, green, blue = processor.get_color_channels()
 
 red_mask, yellow_mask, green_mask = processor.get_color_masks()
 
-snr_red = processor.calculate_snr(red)
-snr_green = processor.calculate_snr(green)
-snr_blue = processor.calculate_snr(blue)
+red_blobs = detect_blobs(red_mask)
+yellow_blobs = detect_blobs(yellow_mask)
+green_blobs = detect_blobs(green_mask)
+
+print(f"Red Blobs: {len(red_blobs)}")
+print(f"Yellow Blobs: {len(yellow_blobs)}")
+print(f"Green Blobs: {len(green_blobs)}")
+
+# snr_red = processor.calculate_snr(red)
+# snr_green = processor.calculate_snr(green)
+# snr_blue = processor.calculate_snr(blue)
 
 #print(f"SNR for Red Channel {snr_red:.2f}")
 #print(f"SNR for Green Channel {snr_green:.2f}")
 #print(f"SNR for Blue Channel {snr_blue:.2f}")
 
-filtered_image = processor.apply_median_filter(kernel_size = 5)
+# filtered_image = processor.apply_median_filter(kernel_size = 5)
 
 
 #Plotter.plot_image_channels(processor.image_rgb,red,green,blue)
 #Plotter.plot_histograms(red, green, blue)
 #Plotter.plot_filtered_image(processor.image_rgb, filtered_image)
-Plotter.plot_color_masks(processor.image_rgb, red_mask, yellow_mask, green_mask)
-print(processor.image.shape)
\ No newline at end of file
+#Plotter.plot_color_masks(processor.image_rgb, red_mask, yellow_mask, green_mask)
+Plotter.plot_blobs(red_mask, yellow_mask, green_mask, red_blobs, yellow_blobs, green_blobs)