finfo.c

image processing including fourier,wavelet,segmentation etc.

/*------------------------- MegaWave2 module ------------------------------*/
/*mwcommand
 name = {finfo};
 author = {"Lionel Moisan"};
 version ={"1.1"};
 function = {"Compute and display several measures on a Fimage."};
 usage = { 
      u->u    "input image"
 };
*/
/*----------------------------------------------------------------------
 v1.1: upgrade for new fvalues() call (L.Moisan)
----------------------------------------------------------------------*/

#include <stdio.h>
#include "mw.h"

extern Fsignal fvalues();
extern float fentropy(),fmean(),fnorm();

int test_chars(s)
Fsignal s;
{
  int ok,i,c;

  for (ok=1,i=s->size;i-- && ok;) {
    c = (int)s->values[i];
    ok = (s->values[i]==(float)c && c>=0 && c<=255);;
  }
  return ok;
}
    
/*------------------------------ MAIN MODULE ------------------------------*/

void finfo(u)
Fimage u;
{  
  Fsignal v;
  int b;
  float p;

  printf("-----------------------------------");
  printf("-----------------------------------\n");
  printf("name = %s\n",u->name);
  printf("cmt = %s\n",u->cmt);
  printf("ncol = %d\n",u->ncol);
  printf("nrow = %d\n",u->nrow);
  v = fvalues(NULL,NULL,NULL,u);
  printf("number of grey levels = %d\n",v->size);
  printf("entropy = %f\n",fentropy(u));
  if (test_chars(v)) printf("This could be a char image.\n");
  printf("min = %f\n",v->values[0]);
  printf("max = %f\n",v->values[v->size-1]);
  printf("mean = %f\n",fmean(u));
  b = 0; p = 2.;
  printf("normalized l2 norm = %f\n",
	 fnorm(u,NULL,&p,NULL,NULL,&b,NULL,NULL));
  printf("normalized bv norm = %f\n",
	 fnorm(u,NULL,NULL,NULL,(char *)1,&b,NULL,NULL));
  printf("-----------------------------------");
  printf("-----------------------------------\n");
}