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Open Source Computer Vision Library
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95 lines
3.6 KiB
95 lines
3.6 KiB
Histograms |
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.. highlight:: cpp |
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CalcPGH |
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Calculates a pair-wise geometrical histogram for a contour. |
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.. ocv:cfunction:: void cvCalcPGH( const CvSeq* contour, CvHistogram* hist ) |
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:param contour: Input contour. Currently, only integer point coordinates are allowed. |
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:param hist: Calculated histogram. It must be two-dimensional. |
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The function calculates a 2D pair-wise geometrical histogram (PGH), described in [Iivarinen97]_ for the contour. The algorithm considers every pair of contour |
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edges. The angle between the edges and the minimum/maximum distances |
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are determined for every pair. To do this, each of the edges in turn |
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is taken as the base, while the function loops through all the other |
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edges. When the base edge and any other edge are considered, the minimum |
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and maximum distances from the points on the non-base edge and line of |
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the base edge are selected. The angle between the edges defines the row |
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of the histogram in which all the bins that correspond to the distance |
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between the calculated minimum and maximum distances are incremented |
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(that is, the histogram is transposed relatively to the definition in the original paper). The histogram can be used for contour matching. |
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.. [Iivarinen97] Jukka Iivarinen, Markus Peura, Jaakko Srel, and Ari Visa. *Comparison of Combined Shape Descriptors for Irregular Objects*, 8th British Machine Vision Conference, BMVC'97. http://www.cis.hut.fi/research/IA/paper/publications/bmvc97/bmvc97.html |
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QueryHistValue*D |
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---------------- |
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Queries the value of the histogram bin. |
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.. ocv:cfunction:: float cvQueryHistValue_1D(CvHistogram hist, int idx0) |
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.. ocv:cfunction:: float cvQueryHistValue_2D(CvHistogram hist, int idx0, int idx1) |
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.. ocv:cfunction:: float cvQueryHistValue_3D(CvHistogram hist, int idx0, int idx1, int idx2) |
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.. ocv:cfunction:: float cvQueryHistValue_nD(CvHistogram hist, const int* idx) |
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.. ocv:pyoldfunction:: cv.QueryHistValue_1D(hist, idx0) -> float |
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.. ocv:pyoldfunction:: cv.QueryHistValue_2D(hist, idx0, idx1) -> float |
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.. ocv:pyoldfunction:: cv.QueryHistValue_3D(hist, idx0, idx1, idx2) -> float |
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.. ocv:pyoldfunction:: cv.QueryHistValue_nD(hist, idx) -> float |
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:param hist: Histogram. |
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:param idx0: 0-th index. |
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:param idx1: 1-st index. |
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:param idx2: 2-nd index. |
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:param idx: Array of indices. |
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The macros return the value of the specified bin of the 1D, 2D, 3D, or N-D histogram. In case of a sparse histogram, the function returns 0. If the bin is not present in the histogram, no new bin is created. |
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GetHistValue\_?D |
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Returns a pointer to the histogram bin. |
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.. ocv:cfunction:: float cvGetHistValue_1D(CvHistogram hist, int idx0) |
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.. ocv:cfunction:: float cvGetHistValue_2D(CvHistogram hist, int idx0, int idx1) |
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.. ocv:cfunction:: float cvGetHistValue_3D(CvHistogram hist, int idx0, int idx1, int idx2) |
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.. ocv:cfunction:: float cvGetHistValue_nD(CvHistogram hist, int idx) |
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:param hist: Histogram. |
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:param idx0: 0-th index. |
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:param idx1: 1-st index. |
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:param idx2: 2-nd index. |
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:param idx: Array of indices. |
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:: |
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#define cvGetHistValue_1D( hist, idx0 ) |
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((float*)(cvPtr1D( (hist)->bins, (idx0), 0 )) |
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#define cvGetHistValue_2D( hist, idx0, idx1 ) |
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((float*)(cvPtr2D( (hist)->bins, (idx0), (idx1), 0 ))) |
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#define cvGetHistValue_3D( hist, idx0, idx1, idx2 ) |
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((float*)(cvPtr3D( (hist)->bins, (idx0), (idx1), (idx2), 0 ))) |
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#define cvGetHistValue_nD( hist, idx ) |
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((float*)(cvPtrND( (hist)->bins, (idx), 0 ))) |
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.. |
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The macros ``GetHistValue`` return a pointer to the specified bin of the 1D, 2D, 3D, or N-D histogram. In case of a sparse histogram, the function creates a new bin and sets it to 0, unless it exists already. |
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