diff --git a/doc/py_tutorials/py_imgproc/py_contours/py_contours_begin/py_contours_begin.markdown b/doc/py_tutorials/py_imgproc/py_contours/py_contours_begin/py_contours_begin.markdown
index 4d279f4337..62a892d095 100644
--- a/doc/py_tutorials/py_imgproc/py_contours/py_contours_begin/py_contours_begin.markdown
+++ b/doc/py_tutorials/py_imgproc/py_contours/py_contours_begin/py_contours_begin.markdown
@@ -30,7 +30,7 @@ import cv2
 im = cv2.imread('test.jpg')
 imgray = cv2.cvtColor(im,cv2.COLOR_BGR2GRAY)
 ret,thresh = cv2.threshold(imgray,127,255,0)
-contours, hierarchy = cv2.findContours(thresh,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
+im2, contours, hierarchy = cv2.findContours(thresh,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
 @endcode
 See, there are three arguments in **cv2.findContours()** function, first one is source image, second
 is contour retrieval mode, third is contour approximation method. And it outputs the contours and