niftkMultiScaleHessianImageEnhancement2D.cxx File Reference

Include dependency graph for niftkMultiScaleHessianImageEnhancement2D.cxx:

Enumerations
enum	{   O_DARK = 0, O_BLOBS, O_SUPPRESS, O_NUMBER_OF_SCALES,   O_RANGE_OF_SCALES, O_ENHANCED_OUTPUT, O_SCALES_OUTPUT, O_INPUT_IMAGE }

Functions
int	main (int argc, char *argv[])

Variables
struct niftk::CommandLineArgumentDescription	clArgList []

Enumeration Type Documentation

anonymous enum

Enumerator
O_DARK
O_BLOBS
O_SUPPRESS
O_NUMBER_OF_SCALES
O_RANGE_OF_SCALES
O_ENHANCED_OUTPUT
O_SCALES_OUTPUT
O_INPUT_IMAGE

Function Documentation

int main	(	int	argc,
		char *	argv[]
	)

Variable Documentation

struct niftk::CommandLineArgumentDescription clArgList[]

Initial value:

= {
  {OPT_SWITCH, "dark", 0, "Detect dark objects on a bright background [bright on dark]."},
  {OPT_SWITCH, "blobs", 0, "Enhance blobs in the image [lines]."},
  {OPT_SWITCH, "suppress", 0, "Scale the objectness measure by the magnitude of the largest absolute eigenvalue."},

  {OPT_INT,    "ns", "nScales", "The number of scales to compute over [10]."},

  {OPT_FLOATx2, "scr", "sigmaMin,sigmaMax", "The range of scales to compute over [0.2, 2.0]."},

  {OPT_STRING, "oe", "imEnhanced", "The output enhanced image."},
  {OPT_STRING, "os", "imScales", "The output image giving the scale at which the biggest response was found."},

  {OPT_STRING|OPT_LONELY|OPT_REQ, NULL, "imInput", "The input image to be enhanced."},
  
  {OPT_DONE, NULL, NULL, 
   "Program to enhance 2D structures using Hessian eigensystem-based measures in a multiscale framework.\n\n"
   "Calls the 'MultiScaleHessianBasedMeasureImageFilter' class developed by Luca Antiga Ph.D."
   "Medical Imaging Unit, Bioengineering Deparment, Mario Negri Institute, Italy.\n"
  }
}