C++ (Cpp) _convolveSeparate 예제들

예제 #1

파일: convolve.c 프로젝트: Enlik/mlt

void _KLTComputeGradients(
  _KLT_FloatImage img,
  float sigma,
  _KLT_FloatImage gradx,
  _KLT_FloatImage grady)
{
				
  /* Compute kernels, if necessary */
  if (fabs(sigma - sigma_last) > 0.05)
    _computeKernels(sigma, &gauss_kernel, &gaussderiv_kernel);
	
  _convolveSeparate(img, gaussderiv_kernel, gauss_kernel, gradx);
  _convolveSeparate(img, gauss_kernel, gaussderiv_kernel, grady);

}

예제 #2

파일: convolve.c 프로젝트: BGratta94/WordAnalysis

void _KLTComputeGradients(
  _KLT_FloatImage img,
  float sigma,
  _KLT_FloatImage gradx,
  _KLT_FloatImage grady)
{
  /* Output images must be large enough to hold result */
  assert(gradx->ncols >= img->ncols);
  assert(gradx->nrows >= img->nrows);
  assert(grady->ncols >= img->ncols);
  assert(grady->nrows >= img->nrows);

  /* Compute kernels, if necessary */
  if (fabs(sigma - sigma_last) > 0.05)
    _computeKernels(sigma, &gauss_kernel, &gaussderiv_kernel);

  _convolveSeparate(img, gaussderiv_kernel, gauss_kernel, gradx);
  _convolveSeparate(img, gauss_kernel, gaussderiv_kernel, grady);
}

예제 #3

파일: convolve.c 프로젝트: Enlik/mlt

void _KLTComputeSmoothedImage(
  _KLT_FloatImage img,
  float sigma,
  _KLT_FloatImage smooth)
{
  /* Compute kernel, if necessary; gauss_deriv is not used */
  if (fabs(sigma - sigma_last) > 0.05)
    _computeKernels(sigma, &gauss_kernel, &gaussderiv_kernel);

  _convolveSeparate(img, gauss_kernel, gauss_kernel, smooth);
}

예제 #4

파일: convolve.c 프로젝트: Imara90/ESLab

void _KLTComputeSmoothedImage(
  _KLT_FloatImage img,
  float sigma,
  _KLT_FloatImage smooth)
{
  /* Output image must be large enough to hold result */
  assert(smooth->ncols >= img->ncols);
  assert(smooth->nrows >= img->nrows);

  /* Compute kernel, if necessary; gauss_deriv is not used */
  if (fabs(sigma - sigma_last) > 0.05)
    _computeKernels(sigma, &gauss_kernel, &gaussderiv_kernel);

  _convolveSeparate(img, gauss_kernel, gauss_kernel, smooth);
}