@ -134,7 +134,7 @@
\setlength { \columnsep } { 2pt} \setlength { \columnsep } { 2pt}
\begin { center} \begin { center}
\Large { \textbf { OpenCV 2.2 Cheat Sheet (C++)} } \\ \Large { \textbf { OpenCV 2.3 Cheat Sheet (C++)} } \\
\end { center} \end { center}
\newlength { \MyLen } \newlength { \MyLen }
\settowidth { \MyLen } { \texttt { letterpaper} /\texttt { a4paper} \ } \settowidth { \MyLen } { \texttt { letterpaper} /\texttt { a4paper} \ }
@ -381,7 +381,7 @@ implements the core of Levenberg-Marquardt optimization algorithm.
& Compute the spatial image derivatives \\ & Compute the spatial image derivatives \\
\texttt { \href { http://opencv.willowgarage.com/documentation/cpp/imgproc_ image_ filtering.html\# cv-laplacian} { Laplacian()} } & compute Laplacian: $ \Delta I = \frac { \partial ^ 2 I } { \partial x ^ 2 } + \frac { \partial ^ 2 I } { \partial y ^ 2 } $ \\ \texttt { \href { http://opencv.willowgarage.com/documentation/cpp/imgproc_ image_ filtering.html\# cv-laplacian} { Laplacian()} } & compute Laplacian: $ \Delta I = \frac { \partial ^ 2 I } { \partial x ^ 2 } + \frac { \partial ^ 2 I } { \partial y ^ 2 } $ \\
\texttt { \href { http://opencv.willowgarage.com/documentation/cpp/imgproc_ image_ filtering.html\# cv-erode} { erode()} } , \texttt { \href { http://opencv.willowgarage.com/documentation/cpp/imgproc_ image_ filtering.html\# cv-dilate} { dilate()} } & Erode or dilate the image \\ \texttt { \href { http://opencv.willowgarage.com/documentation/cpp/imgproc_ image_ filtering.html\# cv-erode} { erode()} } , \texttt { \href { http://opencv.willowgarage.com/documentation/cpp/imgproc_ image_ filtering.html\# cv-dilate} { dilate()} } & Morphological operations \\
\end { tabular} \end { tabular}
@ -455,11 +455,10 @@ Example. Decimate image by factor of $\sqrt{2}$:\\
\begin { tabbing} \begin { tabbing}
Example. Compute Hue-Saturation histogram of an image:\\ Example. Compute Hue-Saturation histogram of an image:\\
\texttt { Mat hsv, H; MatND tempH; } \\ \texttt { Mat hsv, H;} \\
\texttt { cvtColor(image, hsv, CV\_ BGR2HSV);} \\ \texttt { cvtColor(image, hsv, CV\_ BGR2HSV);} \\
\texttt { int planes[]=\{ 0, 1\} , hsize[] = \{ 32, 32\} ;} \\ \texttt { int planes[]=\{ 0, 1\} , hsize[] = \{ 32, 32\} ;} \\
\texttt { calcHist(\& hsv, 1, planes, Mat(), tempH, 2, hsize, 0);} \\ \texttt { calcHist(\& hsv, 1, planes, Mat(), H, 2, hsize, 0);} \\
\texttt { H = tempH;}
\end { tabbing} \end { tabbing}
\subsection { Contours} \subsection { Contours}
@ -520,7 +519,7 @@ samples on what are the contours and how to use them.
\begin { tabbing} \begin { tabbing}
\textbf { Wr} \= \textbf { iting and reading raster images} \\ \textbf { Wr} \= \textbf { iting and reading raster images} \\
\texttt { \href { http://opencv.willowgarage.com/documentation/cpp/highgui_ reading_ and_ writing_ images_ and_ video.html\# cv-imwrite} { imwrite} { imwrite} } \\ \texttt { \href { http://opencv.willowgarage.com/documentation/cpp/highgui_ reading_ and_ writing_ images_ and_ video.html\# cv-imwrite} { imwrite} ("myimage.jpg", image);} \\
\texttt { Mat image\_ color\_ copy = \href { http://opencv.willowgarage.com/documentation/cpp/highgui_ reading_ and_ writing_ images_ and_ video.html\# cv-imread} { imread} ("myimage.jpg", 1);} \\ \texttt { Mat image\_ color\_ copy = \href { http://opencv.willowgarage.com/documentation/cpp/highgui_ reading_ and_ writing_ images_ and_ video.html\# cv-imread} { imread} ("myimage.jpg", 1);} \\
\texttt { Mat image\_ grayscale\_ copy = \href { http://opencv.willowgarage.com/documentation/cpp/highgui_ reading_ and_ writing_ images_ and_ video.html\# cv-imread} { imread} ("myimage.jpg", 0);} \\ \texttt { Mat image\_ grayscale\_ copy = \href { http://opencv.willowgarage.com/documentation/cpp/highgui_ reading_ and_ writing_ images_ and_ video.html\# cv-imread} { imread} ("myimage.jpg", 0);} \\
\end { tabbing} \end { tabbing}
Vadim Pisarevsky
14 years ago