How cv2.Canny() behaves for different values

Author: siddharth2016

dynamicCannyEdgeDetection.py

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+# Dynamic Variation in Canny Edge Detection - by Changing threshold values
+
+import cv2
+import numpy as np
+
+def nothing():
+    pass
+
+img = cv2.imread("cube.jpg", 0)     #Take the input image in GrayScale
+
+cv2.namedWindow("Cube Canny Edge Detection") #Get a named window
+
+#Set minimum and maximum value trackbar
+cv2.createTrackbar("Min Value", "Cube Canny Edge Detection", 0, 100, nothing) 
+cv2.createTrackbar("Max Value", "Cube Canny Edge Detection", 0, 200, nothing)
+
+while(True):
+
+    #Get trackbar value from the respective trackbar
+    minV = cv2.getTrackbarPos("Min Value", "Cube Canny Edge Detection")
+    maxV = cv2.getTrackbarPos("Max Value", "Cube Canny Edge Detection")
+
+    #Apply Canny Edge Detection on obtained minV and maxV
+    res = cv2.Canny(img, minV, maxV)
+    cv2.imshow("Cube Canny Edge Detection", res)
+
+    #Break when "q" key is pressed
+    if cv2.waitKey(1) & 0xff == ord('q'):
+        break
+
+cv2.destroyAllWindows()