NAME

     sct_split_segment - performs Spherical Coordinate  Transform
     segmentation

SYNOPSIS

      #include "CVIPcolor.h"
      #include "CVIPdef.h"
      #include "SCTsplit.h"

      Image *sct_split_segment (Image  *imgP,  int  A_split,  int
     B_split)

      <imgP> - address of pointer to Image structure
      <A_split> - number of colors to divide along angle A
      <B_split> - number of colors to divide along angle B

PATH

     $CVIPHOME/SEGMENTATION/sct_split.c

DESCRIPTION

     The  Spherical Coordinate Transform  segmentation  algorithm
     (SCT/Center  split) was developed for use in the identifica-
     tion of variegated coloring in skin tumor images. The  algo-
     rithm  maps  RGB data into a space defined by two angles and
     an intensity measure. Then  the  subspace,  defined  by  the
     minimums  and maximums on the two angles, is equally divided
     along each axis, using the two input parameters, A_split and
     B_split.

TYPES AND CONSTANTS


RETURN VALUES

     The segmented image.

EXAMPLE

      #include "CVIPtoolkit.h"
      #include "CVIPconvert.h"
      #include "CVIPcolor.h"
      #include "CVIPdef.h"
      #include "sct_split.h"

      void main()
      {
      Image *cvipImage;
      IMAGE_FORMAT format;
      char *inputfile, *outputfile;
      int Asplit, Bsplit;

      setDisplay_Image("picture", "Default");

      print_CVIP("\n\t\tEnter the Input File Name:  ");
      inputfile =(char *) getString_CVIP();
      cvipImage = read_Image(inputfile, 1);
      view_Image(cvipImage, inputfile);
      Asplit = Bsplit = 3;
      cvipImage = sct_split_segment(cvipImage, Asplit, Bsplit);
      print_CVIP("\n\t\tEnter the Output File Name:  ");
      outputfile = getString_CVIP();
      view_Image(cvipImage, outputfile);
      format = getFileFormat_Image(cvipImage);
      write_Image(cvipImage,outputfile,CVIP_NO,CVIP_NO,format,1);
      free(inputfile);
      free(outputfile);
      }

BUGS

     None at this time

SEE ALSO

     libsegment

AUTHOR

     Copyright (C) 1995 SIUE - by Scott Umbaugh and Kun Luo.