* Chooses the initial centers in the k-means clustering in a random manner. * * Params: * k = number of centers * vecs = t

Remove all elements in the set */

Sets all the bits to 0 */

Paste multiple images next to each other as a single image, for saving or displaying. Remember to free the returned image. Sample usage: cvSaveImage("

Paste multiple images next to each other as a single image, for saving or displaying. Remember to free the returned image. Sample usage: cvSaveImage("

Paste multiple images next to each other as a single image, for saving or displaying. Remember to free the returned image. Sample usage: cvSaveImage("

Paste multiple images next to each other as a single image, for saving or displaying. Remember to free the returned image. Sample usage: cvSaveImage("

Returns true if the two types are the same.

* The method responsible with actually doing the recursive hierarchical * clustering * * Params: * node = the node to cluster

* The method responsible with actually doing the recursive hierarchical * clustering * * Params: * node = the node to cluster

* Computes the statistics of a node (mean, radius, variance). * * Params: * node = the node to use * indices = the indices

Create an RGB image from the HSV image using the full 8-bits, since OpenCV only allows Hues up to 180 instead of 255. ref: "http://cs.haifa.ac.il/hagi

Create an RGB image from the HSV image using the full 8-bits, since OpenCV only allows Hues up to 180 instead of 255. ref: "http://cs.haifa.ac.il/hagi

Create a HSV image from the RGB image using the full 8-bits, since OpenCV only allows Hues up to 180 instead of 255. ref: "http://cs.haifa.ac.il/hagit

Create a HSV image from the RGB image using the full 8-bits, since OpenCV only allows Hues up to 180 instead of 255. ref: "http://cs.haifa.ac.il/hagit

Return a new image that is always greyscale, whether the input image was RGB or Greyscale. Remember to free the returned image using cvReleaseImage()

Return a new image that is always greyscale, whether the input image was RGB or Greyscale. Remember to free the returned image using cvReleaseImage()

Create an RGB image from the YIQ image using an approximation of NTSC conversion(ref: "YIQ" Wikipedia page). Remember to free the generated RGB image.

Create an RGB image from the YIQ image using an approximation of NTSC conversion(ref: "YIQ" Wikipedia page). Remember to free the generated RGB image.

Get an 8-bit equivalent of the 32-bit Float Matrix. Returns a new image, so remember to call 'cvReleaseImage()' on the result.

Get an 8-bit equivalent of the 32-bit Float Matrix. Returns a new image, so remember to call 'cvReleaseImage()' on the result.

Do the color conversion of a single pixel, from HSV to RGB using Hue values between 0 to 179 just like OpenCV does, instead of Hues upto 255.

Do the color conversion of a single pixel, from HSV to RGB using Hue values between 0 to 179 just like OpenCV does, instead of Hues upto 255.

Do the color conversion of a single pixel, from RGB to HSV using Hue values between 0 to 179 just like OpenCV does, instead of Hues upto 255.

Do the color conversion of a single pixel, from RGB to HSV using Hue values between 0 to 179 just like OpenCV does, instead of Hues upto 255.

Make sure the given rectangle is completely within the given image dimensions.

Make sure the given rectangle is completely within the given image dimensions.

Simple loader for many auto trackers by its type : */

Decrements CvMat data reference counter and deallocates the data if it reaches 0 */

Returns a set element by index. If the element doesn't belong to the set, NULL is returned */

Increments CvMat data reference counter */