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#393 SnakeImage revised Python binding

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This commit is contained in:
James Bowman 2010-06-23 20:39:51 +00:00
parent d6c6c3ecda
commit de00049aad
1 changed files with 14 additions and 2 deletions
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16
doc/cv_motion_tracking.tex
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@ -724,22 +724,30 @@ Changes the contour position to minimize its energy.
\cvdefC{
void cvSnakeImage( \par const IplImage* image,\par CvPoint* points,\par int length,\par float* alpha,\par float* beta,\par float* gamma,\par int coeff\_usage,\par CvSize win,\par CvTermCriteria criteria,\par int calc\_gradient=1 );
}\cvdefPy{SnakeImage(image,points,alpha,beta,gamma,coeff\_usage,win,criteria,calc\_gradient=1)-> None}
}
\cvdefPy{SnakeImage(image,points,alpha,beta,gamma,win,criteria,calc\_gradient=1)-> new_points}
\begin{description}
\cvarg{image}{The source image or external energy field}
\cvarg{points}{Contour points (snake)}
\ifC
\cvarg{length}{Number of points in the contour}
\cvarg{alpha}{Weight[s] of continuity energy, single float or
array of \texttt{length} floats, one for each contour point}
\else
\cvarg{alpha}{Weight[s] of continuity energy, single float or
a list of floats, one for each contour point}
\fi
\cvarg{alpha}{Weight[s] of continuity energy, single float or array of \texttt{length} floats, one for each contour point}
\cvarg{beta}{Weight[s] of curvature energy, similar to \texttt{alpha}}
\cvarg{gamma}{Weight[s] of image energy, similar to \texttt{alpha}}
\ifC
\cvarg{coeff\_usage}{Different uses of the previous three parameters:
\begin{description}
\cvarg{CV\_VALUE}{indicates that each of \texttt{alpha, beta, gamma} is a pointer to a single value to be used for all points;}
\cvarg{CV\_ARRAY}{indicates that each of \texttt{alpha, beta, gamma} is a pointer to an array of coefficients different for all the points of the snake. All the arrays must have the size equal to the contour size.}
\end{description}}
\fi
\cvarg{win}{Size of neighborhood of every point used to search the minimum, both \texttt{win.width} and \texttt{win.height} must be odd}
\cvarg{criteria}{Termination criteria}
\cvarg{calc\_gradient}{Gradient flag; if not 0, the function calculates the gradient magnitude for every image pixel and consideres it as the energy field, otherwise the input image itself is considered}
@ -760,6 +768,10 @@ If at some iteration the number of moved points is less
than \texttt{criteria.epsilon} or the function performed
\texttt{criteria.max\_iter} iterations, the function terminates.
\ifPy
The function returns the updated list of points.
\fi
\cvCPyFunc{SquareAcc}
Adds the square of the source image to the accumulator.