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Merge pull request #11108 from take1014:hough_4303
* Added accumulator value to the output of HoughLines and HoughCircles * imgproc: refactor Hough patch - eliminate code duplication - fix type handling, fix OpenCL code - fix test data generation - re-generated test data in debug mode via plain CPU code path
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committed by
Alexander Alekhin
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2d5d98ec0f
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ed207d79e7
@@ -1977,10 +1977,11 @@ detection. See <http://homepages.inf.ed.ac.uk/rbf/HIPR2/hough.htm> for a good ex
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transform.
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@param image 8-bit, single-channel binary source image. The image may be modified by the function.
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@param lines Output vector of lines. Each line is represented by a two-element vector
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\f$(\rho, \theta)\f$ . \f$\rho\f$ is the distance from the coordinate origin \f$(0,0)\f$ (top-left corner of
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@param lines Output vector of lines. Each line is represented by a 2 or 3 element vector
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\f$(\rho, \theta)\f$ or \f$(\rho, \theta, \votes)\f$ . \f$\rho\f$ is the distance from the coordinate origin \f$(0,0)\f$ (top-left corner of
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the image). \f$\theta\f$ is the line rotation angle in radians (
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\f$0 \sim \textrm{vertical line}, \pi/2 \sim \textrm{horizontal line}\f$ ).
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\f$\votes\f$ is the value of accumulator.
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@param rho Distance resolution of the accumulator in pixels.
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@param theta Angle resolution of the accumulator in radians.
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@param threshold Accumulator threshold parameter. Only those lines are returned that get enough
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@@ -2155,8 +2156,8 @@ you know it. Or, you may set maxRadius to a negative number to return centers on
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search, and find the correct radius using an additional procedure.
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@param image 8-bit, single-channel, grayscale input image.
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@param circles Output vector of found circles. Each vector is encoded as a 3-element
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floating-point vector \f$(x, y, radius)\f$ .
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@param circles Output vector of found circles. Each vector is encoded as 3 or 4 element
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floating-point vector \f$(x, y, radius)\f$ or \f$(x, y, radius, votes)\f$ .
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@param method Detection method, see #HoughModes. Currently, the only implemented method is #HOUGH_GRADIENT
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@param dp Inverse ratio of the accumulator resolution to the image resolution. For example, if
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dp=1 , the accumulator has the same resolution as the input image. If dp=2 , the accumulator has
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