Generate macro(s) 'cimg_forN(i,bound)' ----------------------------------------

Generate macro(s) 'cimg_for_inN(i,bound)' ------------------------------------------

CHLPCA denoising from the PhD thesis of Hu Haijuan \param px the patch half width \param py the patch half height \param pz the patch half dep

Crop a patch in the image around position x,y,z and return a column vector \param x x-coordinate of the center of the patch \param y y-coordinate

Run a selected effect -----------------------

Copy constructor; the optional flag will be ignored when the number of color channels is less than 3. Current flag options are 0 and CV_CVTIMG_SWAP_RB

* Test if a point is a end point * @param img the image * @param a_label the table of labels * @param curve set it to true for having medial curve

animate_warp() : Create warping animation from two images and a motion field ----------------

Detect tetris lines and do line removal animation if found.

Compute distance from a point to a segment. ---------------------------------------------

Generate macro 'cimg_forMxN[xP](img,x,y,z,c,I,T)' --------------------------------------------------

Generate macro 'cimg_for_inMxN[xP](img,x,y,z,c,I,T)' -----------------------------------------------------

Generate macro 'cimg_getMxN[xP](img,x,y,z,c,I,T)' --------------------------------------------------

Convert Bayer-coded scalar image to a RGB color image \newinstance.

Convert RGB color image to a Bayer-coded scalar image \newinstance.

Given this CImg<T> instance, return the corresponding bit-depth flag for use in IplImage header.

These functions load ".foo" filenames ---------------------------------------

Load image from a jpeg-coded memory buffer. \param buffer Memory buffer containing the jpeg-coded image data. \param buffer_size Size of the memory

Extract a local patch dictionnary around point xi,yi,zi

* Compute the skeleton of the shape using Hamilton-Jacobi scheme * @param flux the flux of the distance gradient * @param dist the euclidean distanc

Item : 3D Reflection ----------------------

Item : Anisotropic Smoothing (Total variation PDE, explicit scheme) --------------------------------------------------------------------

Item : Blobs Editor --------------------

Item : Blurring Gradient ----------------------------

Item : Bouncing Bubble ------------------------

Item : Breakout -----------------

Item : Bump Effect --------------------

Item : Double Torus ---------------------

Item : Filled Triangles -------------------------

Item : Fireworks ------------------

Item : Fish-Eye Magnification ------------------------------

Item : Fourier Filtering -------------------------

Item : Fractal Animation --------------------------

Item : Gamma Correction and Histogram Visualization -----------------------------------------------------

Item : Image Waves --------------------

Item : Image Zoomer ---------------------

Item : Mandelbrot/Julia Explorer ----------------------------------

Item : Mini-Paint ------------------

Item : Oriented Convolutions ------------------------------

Item : Plasma Effect with Sinus Scrolling. -------------------------------------------

Item : Rotozoom -----------------

Item : Rubber Logo --------------------

Item : Shade Bobs -------------------

Item : Soccer Bobs -------------------

Item : Virtual Landscape --------------------------

Item : Word Puzzle --------------------

Check if this CImg<T> instance and a given IplImage have identical pixel types.

optflow() : multiscale version of the image registration algorithm -----------

Conversion IPL -> CImg (constructor)

Conversion IPL -> CImg (constructor)

Define CImg<T> member functions which return pixel values as st_RGB instances. -----------------------------------------------------------------------