diff --git a/shape_recognizer.py b/shape_recognizer.py
index e336b2f..9fa4653 100755
--- a/shape_recognizer.py
+++ b/shape_recognizer.py
@@ -25,9 +25,10 @@ def __init__(self):
         self.minVal = 50
         self.maxVal = 87
         self.test_image = cv2.imread("./circle_base.png",-1)
-        if self.test_image:
-            self.test_image = cv2.medianBlur(img,5)
-            self.edge_detected = cv2.Canny(self.test_image,self.minVal,self.maxVal)
+        # if self.test_image:
+        self.test_image = cv2.medianBlur(self.test_image,5)
+        self.edge_detected = cv2.Canny(self.test_image,self.minVal,self.maxVal)
+
 
 
 
@@ -64,7 +65,7 @@ def process_image(self, msg):
         """ Process image messages from ROS and stash them in an attribute
             called cv_image for subsequent processing """
         self.cv_image = self.bridge.imgmsg_to_cv2(msg, desired_encoding="bgr8")
-        self.cv_image = cv2.medianBlur(img,5)
+        self.cv_image = cv2.medianBlur(self.cv_image,5)
         self.gray_image = cv2.adaptiveThreshold(self.cv_image,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C,\
             cv2.THRESH_BINARY,11,2)
         # self.gray_image = cv2.cvtColor(self.cv_image, cv2.COLOR_BGR2GRAY)
@@ -76,6 +77,9 @@ def process_image(self, msg):
         #     (158,255,236))
 
         self.edge_detected = cv2.Canny(self.cv_image,self.minVal,self.maxVal)
+
+        
+        
         _, self.contours, self.contour_hierarchy  = cv2.findContours(self.edge_detected, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
         self.contour_image = cv2.drawContours(self.cv_image, self.contours, -1, (0,255,0), 3)
         print dp(self.edge_detected, 1)
@@ -154,6 +158,8 @@ def set_maxVal(self, val):
     def run(self):
         """ The main run loop"""
         r = rospy.Rate(10)
+
+        print dp(self.edge_detected, 1)
         while not rospy.is_shutdown():
 
             if not self.cv_image is None: