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Merge pull request #2319 from m3d:patch-1

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Roman Donchenko 2014-02-13 12:12:00 +04:00 committed by OpenCV Buildbot
commit 935e36bc72
1 changed files with 5 additions and 5 deletions
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10
doc/py_tutorials/py_imgproc/py_contours/py_contour_features/py_contour_features.rst
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@ -119,7 +119,7 @@ Let (x,y) be the top-left coordinate of the rectangle and (w,h) be its width and
:: ::
x,y,w,h = cv2.boundingRect(cnt) x,y,w,h = cv2.boundingRect(cnt)
img = cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),2) cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),2)
7.b. Rotated Rectangle 7.b. Rotated Rectangle
----------------------- -----------------------
@ -129,7 +129,7 @@ Here, bounding rectangle is drawn with minimum area, so it considers the rotatio
rect = cv2.minAreaRect(cnt) rect = cv2.minAreaRect(cnt)
box = cv2.boxPoints(rect) box = cv2.boxPoints(rect)
box = np.int0(box) box = np.int0(box)
im = cv2.drawContours(im,[box],0,(0,0,255),2) cv2.drawContours(img,[box],0,(0,0,255),2)
Both the rectangles are shown in a single image. Green rectangle shows the normal bounding rect. Red rectangle is the rotated rect. Both the rectangles are shown in a single image. Green rectangle shows the normal bounding rect. Red rectangle is the rotated rect.
@ -145,7 +145,7 @@ Next we find the circumcircle of an object using the function **cv2.minEnclosing
(x,y),radius = cv2.minEnclosingCircle(cnt) (x,y),radius = cv2.minEnclosingCircle(cnt)
center = (int(x),int(y)) center = (int(x),int(y))
radius = int(radius) radius = int(radius)
img = cv2.circle(img,center,radius,(0,255,0),2) cv2.circle(img,center,radius,(0,255,0),2)
.. image:: images/circumcircle.png .. image:: images/circumcircle.png
:alt: Minimum Enclosing Circle :alt: Minimum Enclosing Circle
@ -158,7 +158,7 @@ Next one is to fit an ellipse to an object. It returns the rotated rectangle in
:: ::
ellipse = cv2.fitEllipse(cnt) ellipse = cv2.fitEllipse(cnt)
im = cv2.ellipse(im,ellipse,(0,255,0),2) cv2.ellipse(img,ellipse,(0,255,0),2)
.. image:: images/fitellipse.png .. image:: images/fitellipse.png
:alt: Fitting an Ellipse :alt: Fitting an Ellipse
@ -175,7 +175,7 @@ Similarly we can fit a line to a set of points. Below image contains a set of wh
[vx,vy,x,y] = cv2.fitLine(cnt, cv2.DIST_L2,0,0.01,0.01) [vx,vy,x,y] = cv2.fitLine(cnt, cv2.DIST_L2,0,0.01,0.01)
lefty = int((-x*vy/vx) + y) lefty = int((-x*vy/vx) + y)
righty = int(((cols-x)*vy/vx)+y) righty = int(((cols-x)*vy/vx)+y)
img = cv2.line(img,(cols-1,righty),(0,lefty),(0,255,0),2) cv2.line(img,(cols-1,righty),(0,lefty),(0,255,0),2)
.. image:: images/fitline.jpg .. image:: images/fitline.jpg
:alt: Fitting a Line :alt: Fitting a Line