canny_util.c

/* source: http://marathon.csee.usf.edu/edge/edge_detection.html */
/* URL: ftp://figment.csee.usf.edu/pub/Edge_Comparison/source_code/canny.src */


/*******************************************************************************
* --------------------------------------------
*(c) 2001 University of South Florida, Tampa
* Use, or copying without permission prohibited.
* PERMISSION TO USE
* In transmitting this software, permission to use for research and
* educational purposes is hereby granted.  This software may be copied for
* archival and backup purposes only.  This software may not be transmitted
* to a third party without prior permission of the copyright holder. This
* permission may be granted only by Mike Heath or Prof. Sudeep Sarkar of
* University of South Florida (sarkar@csee.usf.edu). Acknowledgment as
* appropriate is respectfully requested.
* 
*  Heath, M., Sarkar, S., Sanocki, T., and Bowyer, K. Comparison of edge
*    detectors: a methodology and initial study, Computer Vision and Image
*    Understanding 69 (1), 38-54, January 1998.
*  Heath, M., Sarkar, S., Sanocki, T. and Bowyer, K.W. A Robust Visual
*    Method for Assessing the Relative Performance of Edge Detection
*    Algorithms, IEEE Transactions on Pattern Analysis and Machine
*    Intelligence 19 (12),  1338-1359, December 1997.
*  ------------------------------------------------------
*
* PROGRAM: canny_edge
* PURPOSE: This program implements a "Canny" edge detector. The processing
* steps are as follows:
*
*   1) Convolve the image with a separable gaussian filter.
*   2) Take the dx and dy the first derivatives using [-1,0,1] and [1,0,-1]'.
*   3) Compute the magnitude: sqrt(dx*dx+dy*dy).
*   4) Perform non-maximal suppression.
*   5) Perform hysteresis.
*
* The user must input three parameters. These are as follows:
*
*   sigma = The standard deviation of the gaussian smoothing filter.
*   tlow  = Specifies the low value to use in hysteresis. This is a 
*           fraction (0-1) of the computed high threshold edge strength value.
*   thigh = Specifies the high value to use in hysteresis. This fraction (0-1)
*           specifies the percentage point in a histogram of the gradient of
*           the magnitude. Magnitude values of zero are not counted in the
*           histogram.
*
* NAME: Mike Heath
*       Computer Vision Laboratory
*       University of South Floeida
*       heath@csee.usf.edu
*
* DATE: 2/15/96
*
* Modified: 5/17/96 - To write out a floating point RAW headerless file of
*                     the edge gradient "up the edge" where the angle is
*                     defined in radians counterclockwise from the x direction.
*                     (Mike Heath)
*******************************************************************************/

#include "canny_util.h"

/*******************************************************************************
* PROCEDURE: canny
* PURPOSE: To perform canny edge detection.
* NAME: Mike Heath
* DATE: 2/15/96
*******************************************************************************/
void canny(unsigned char *image, int rows, int cols, float sigma,
         float tlow, float thigh, unsigned char **edge, char *fname)
{
   FILE *fpdir=NULL;          /* File to write the gradient image to.     */
   unsigned char *nms;        /* Points that are local maximal magnitude. */
   short int *smoothedim,     /* The image after gaussian smoothing.      */
             *delta_x,        /* The first devivative image, x-direction. */
             *delta_y,        /* The first derivative image, y-direction. */
             *magnitude;      /* The magnitude of the gadient image.      */
   int r, c, pos;
   float *dir_radians=NULL;   /* Gradient direction image.                */

   /****************************************************************************
   * Perform gaussian smoothing on the image using the input standard
   * deviation.
   ****************************************************************************/
   if(VERBOSE) printf("Smoothing the image using a gaussian kernel.\n");
   gaussian_smooth(image, rows, cols, sigma, &smoothedim);

   /****************************************************************************
   * Compute the first derivative in the x and y directions.
   ****************************************************************************/
   if(VERBOSE) printf("Computing the X and Y first derivatives.\n");
   derrivative_x_y(smoothedim, rows, cols, &delta_x, &delta_y);

   /****************************************************************************
   * This option to write out the direction of the edge gradient was added
   * to make the information available for computing an edge quality figure
   * of merit.
   ****************************************************************************/
   if(fname != NULL){
      /*************************************************************************
      * Compute the direction up the gradient, in radians that are
      * specified counteclockwise from the positive x-axis.
      *************************************************************************/
      radian_direction(delta_x, delta_y, rows, cols, &dir_radians, -1, -1);

      /*************************************************************************
      * Write the gradient direction image out to a file.
      *************************************************************************/
      if((fpdir = fopen(fname, "wb")) == NULL){
         fprintf(stderr, "Error opening the file %s for writing.\n", fname);
         exit(1);
      }
      fwrite(dir_radians, sizeof(float), rows*cols, fpdir);
      fclose(fpdir);
      free(dir_radians);
   }

   /****************************************************************************
   * Compute the magnitude of the gradient.
   ****************************************************************************/
   if(VERBOSE) printf("Computing the magnitude of the gradient.\n");
   magnitude_x_y(delta_x, delta_y, rows, cols, &magnitude);

   /****************************************************************************
   * Perform non-maximal suppression.
   ****************************************************************************/
   if(VERBOSE) printf("Doing the non-maximal suppression.\n");
   if((nms = (unsigned char *) calloc(rows*cols,sizeof(unsigned char)))==NULL){
      fprintf(stderr, "Error allocating the nms image.\n");
      exit(1);
   }

   non_max_supp(magnitude, delta_x, delta_y, rows, cols, nms);

   /****************************************************************************
   * Use hysteresis to mark the edge pixels.
   ****************************************************************************/
   if(VERBOSE) printf("Doing hysteresis thresholding.\n");
   if((*edge=(unsigned char *)calloc(rows*cols,sizeof(unsigned char))) ==NULL){
      fprintf(stderr, "Error allocating the edge image.\n");
      exit(1);
   }

   apply_hysteresis(magnitude, nms, rows, cols, tlow, thigh, *edge);

   /****************************************************************************
   * Free all of the memory that we allocated except for the edge image that
   * is still being used to store out result.
   ****************************************************************************/
   free(smoothedim);
   free(delta_x);
   free(delta_y);
   free(magnitude);
   free(nms);
}

/*******************************************************************************
* Procedure: radian_direction
* Purpose: To compute a direction of the gradient image from component dx and
* dy images. Because not all derriviatives are computed in the same way, this
* code allows for dx or dy to have been calculated in different ways.
*
* FOR X:  xdirtag = -1  for  [-1 0  1]
*         xdirtag =  1  for  [ 1 0 -1]
*
* FOR Y:  ydirtag = -1  for  [-1 0  1]'
*         ydirtag =  1  for  [ 1 0 -1]'
*
* The resulting angle is in radians measured counterclockwise from the
* xdirection. The angle points "up the gradient".
*******************************************************************************/
void radian_direction(short int *delta_x, short int *delta_y, int rows,
    int cols, float **dir_radians, int xdirtag, int ydirtag)
{
   int r, c, pos;
   float *dirim=NULL;
   double dx, dy;

   /****************************************************************************
   * Allocate an image to store the direction of the gradient.
   ****************************************************************************/
   if((dirim = (float *) calloc(rows*cols, sizeof(float))) == NULL){
      fprintf(stderr, "Error allocating the gradient direction image.\n");
      exit(1);
   }
   *dir_radians = dirim;

   for(r=0,pos=0;r<rows;r++){
      for(c=0;c<cols;c++,pos++){
         dx = (double)delta_x[pos];
         dy = (double)delta_y[pos];

         if(xdirtag == 1) dx = -dx;
         if(ydirtag == -1) dy = -dy;

         dirim[pos] = (float)angle_radians(dx, dy);
      }
   }
}

/*******************************************************************************
* FUNCTION: angle_radians
* PURPOSE: This procedure computes the angle of a vector with components x and
* y. It returns this angle in radians with the answer being in the range
* 0 <= angle <2*PI.
*******************************************************************************/
double angle_radians(double x, double y)
{
   double xu, yu, ang;

   xu = fabs(x);
   yu = fabs(y);

   if((xu == 0) && (yu == 0)) return(0);

   ang = atan(yu/xu);

   if(x >= 0){
      if(y >= 0) return(ang);
      else return(2*M_PI - ang);
   }
   else{
      if(y >= 0) return(M_PI - ang);
      else return(M_PI + ang);
   }
}

/*******************************************************************************
* PROCEDURE: magnitude_x_y
* PURPOSE: Compute the magnitude of the gradient. This is the square root of
* the sum of the squared derivative values.
* NAME: Mike Heath
* DATE: 2/15/96
*******************************************************************************/
void magnitude_x_y(short int *delta_x, short int *delta_y, int rows, int cols,
        short int **magnitude)
{
   int r, c, pos, sq1, sq2;

   /****************************************************************************
   * Allocate an image to store the magnitude of the gradient.
   ****************************************************************************/
   if((*magnitude = (short *) calloc(rows*cols, sizeof(short))) == NULL){
      fprintf(stderr, "Error allocating the magnitude image.\n");
      exit(1);
   }

   for(r=0,pos=0;r<rows;r++){
      for(c=0;c<cols;c++,pos++){
         sq1 = (int)delta_x[pos] * (int)delta_x[pos];
         sq2 = (int)delta_y[pos] * (int)delta_y[pos];
         (*magnitude)[pos] = (short)(0.5 + sqrt((float)sq1 + (float)sq2));
      }
   }

}

/*******************************************************************************
* PROCEDURE: derrivative_x_y
* PURPOSE: Compute the first derivative of the image in both the x any y
* directions. The differential filters that are used are:
*
*                                          -1
*         dx =  -1 0 +1     and       dy =  0
*                                          +1
*
* NAME: Mike Heath
* DATE: 2/15/96
*******************************************************************************/
void derrivative_x_y(short int *smoothedim, int rows, int cols,
        short int **delta_x, short int **delta_y)
{
   int r, c, pos;

   /****************************************************************************
   * Allocate images to store the derivatives.
   ****************************************************************************/
   if(((*delta_x) = (short *) calloc(rows*cols, sizeof(short))) == NULL){
      fprintf(stderr, "Error allocating the delta_x image.\n");
      exit(1);
   }
   if(((*delta_y) = (short *) calloc(rows*cols, sizeof(short))) == NULL){
      fprintf(stderr, "Error allocating the delta_x image.\n");
      exit(1);
   }

   /****************************************************************************
   * Compute the x-derivative. Adjust the derivative at the borders to avoid
   * losing pixels.
   ****************************************************************************/
   if(VERBOSE) printf("   Computing the X-direction derivative.\n");
   for(r=0;r<rows;r++){
      pos = r * cols;
      (*delta_x)[pos] = smoothedim[pos+1] - smoothedim[pos];
      pos++;
      for(c=1;c<(cols-1);c++,pos++){
         (*delta_x)[pos] = smoothedim[pos+1] - smoothedim[pos-1];
      }
      (*delta_x)[pos] = smoothedim[pos] - smoothedim[pos-1];
   }

   /****************************************************************************
   * Compute the y-derivative. Adjust the derivative at the borders to avoid
   * losing pixels.
   ****************************************************************************/
   if(VERBOSE) printf("   Computing the Y-direction derivative.\n");
   for(c=0;c<cols;c++){
      pos = c;
      (*delta_y)[pos] = smoothedim[pos+cols] - smoothedim[pos];
      pos += cols;
      for(r=1;r<(rows-1);r++,pos+=cols){
         (*delta_y)[pos] = smoothedim[pos+cols] - smoothedim[pos-cols];
      }
      (*delta_y)[pos] = smoothedim[pos] - smoothedim[pos-cols];
   }
}


//Added by Jiang Wan for multi-thread 
struct thread_args_x
{
    unsigned char *image;
    int rows;
    int cols;
    int col_s;
    int col_e;
    int center;
    float *kernel;
    float *tempim;
    int row_s;
    int row_e;
    short int **smoothedim;
};

//Added by Jiang Wan for multi-thread 
void *blur_x(void *arguments)
{
   /****************************************************************************
   * Blur in the x - direction.
   ****************************************************************************/
   thread_args_x *args = (thread_args_x *) arguments; 
	
   unsigned char *image = args->image;
   int rows = args->rows;
   int cols = args->cols;
   int col_s = args->col_s;
   int col_e = args->col_e;
   int center = args->center;
   float *kernel = args->kernel;
   float *tempim = args->tempim;
   
   int r, c, cc;
   float dot, sum;

   if(VERBOSE) printf("   Bluring the image in the X-direction.\n");
   for(r=0;r<rows;r++){
      for(c=col_s;c<col_e;c++){
         dot = 0.0;
         sum = 0.0;
         for(cc=(-center);cc<=center;cc++){
            if(((c+cc) >= 0) && ((c+cc) < cols)){
               dot += (float)image[r*cols+(c+cc)] * kernel[center+cc];
               sum += kernel[center+cc];
            }
         }
         tempim[r*cols+c] = dot/sum;
      }
   }
}

void *blur_y(void *arguments)
{
   thread_args_x *args = (thread_args_x *) arguments; 
	
   unsigned char *image = args->image;
   int rows = args->rows;
   int cols = args->cols;
   int row_s = args->row_s;
   int row_e = args->row_e;
   int center = args->center;
   float *kernel = args->kernel;
   float *tempim = args->tempim;
   short int **smoothedim = args->smoothedim;

   int r, c, rr;
   float dot, sum;

 if(VERBOSE) printf("   Bluring the image in the Y-direction.\n");
   for(c=0;c<cols;c++){
      for(r=row_s;r<row_e;r++){
         sum = 0.0;
         dot = 0.0;
         for(rr=(-center);rr<=center;rr++){
            if(((r+rr) >= 0) && ((r+rr) < rows)){
               dot += tempim[(r+rr)*cols+c] * kernel[center+rr];
               sum += kernel[center+rr];
            }
         }
         (*smoothedim)[r*cols+c] = (short int)(dot*BOOSTBLURFACTOR/sum + 0.5);
      }
   }

}

//Edited by Jiang Wan for multi-thread 
#define N_T 4


/*******************************************************************************
* PROCEDURE: gaussian_smooth
* PURPOSE: Blur an image with a gaussian filter.
* NAME: Mike Heath
* DATE: 2/15/96
*******************************************************************************/
void gaussian_smooth(unsigned char *image, int rows, int cols, float sigma,
        short int **smoothedim)
{
   int r, c, rr, cc,     /* Counter variables. */
      windowsize,        /* Dimension of the gaussian kernel. */
      center;            /* Half of the windowsize. */
   float *tempim,        /* Buffer for separable filter gaussian smoothing. */
         *kernel,        /* A one dimensional gaussian kernel. */
         dot,            /* Dot product summing variable. */
         sum;            /* Sum of the kernel weights variable. */

   /****************************************************************************
   * Create a 1-dimensional gaussian smoothing kernel.
   ****************************************************************************/
   if(VERBOSE) printf("   Computing the gaussian smoothing kernel.\n");
   make_gaussian_kernel(sigma, &kernel, &windowsize);
   center = windowsize / 2;

   /****************************************************************************
   * Allocate a temporary buffer image and the smoothed image.
   ****************************************************************************/
   if((tempim = (float *) calloc(rows*cols, sizeof(float))) == NULL){
      fprintf(stderr, "Error allocating the buffer image.\n");
      exit(1);
   }
   if(((*smoothedim) = (short int *) calloc(rows*cols,
         sizeof(short int))) == NULL){
      fprintf(stderr, "Error allocating the smoothed image.\n");
      exit(1);
   }

  
   pthread_t thread[N_T];
   int iret[N_T];
   struct thread_args_x args[N_T];

   int col_per_t = cols/N_T;
   int i;

   for(i=0; i<N_T; i++)
   {
      args[i].image = image;
      args[i].rows = rows;
      args[i].cols = cols;
      args[i].col_s = col_per_t*i;
      args[i].col_e = col_per_t*(i+1);
      args[i].center = center;
      args[i].kernel = kernel;
      args[i].tempim = tempim;
      iret[i] = pthread_create(&thread[i], NULL, &blur_x, &args[i]);
   }

   for(i=0; i<N_T; i++)
   {
   	pthread_join(thread[i], NULL);
   }
   
   int row_per_t = rows/N_T;
   int j;

   for(j=0; j<N_T; j++)
   {
      args[j].image = image;
      args[j].rows = rows;
      args[j].cols = cols;
      args[j].row_s = row_per_t*j;
      args[j].row_e = row_per_t*(j+1);
      args[j].center = center;
      args[j].kernel = kernel;
      args[j].tempim = tempim;
      args[j].smoothedim = smoothedim;
      iret[j] = pthread_create(&thread[j], NULL, &blur_y, &args[j]);
   }

   for(j=0; j<N_T; j++)
   {
   	pthread_join(thread[j], NULL);
   }
   free(tempim);
   free(kernel);

}
/*******************************************************************************
* PROCEDURE: make_gaussian_kernel
* PURPOSE: Create a one dimensional gaussian kernel.
* NAME: Mike Heath
* DATE: 2/15/96
*******************************************************************************/
void make_gaussian_kernel(float sigma, float **kernel, int *windowsize)
{
   int i, center;
   float x, fx, sum=0.0;

   *windowsize = 1 + 2 * ceil(2.5 * sigma);
   center = (*windowsize) / 2;

   if(VERBOSE) printf("      The kernel has %d elements.\n", *windowsize);
   if((*kernel = (float *) calloc((*windowsize), sizeof(float))) == NULL){
      fprintf(stderr, "Error callocing the gaussian kernel array.\n");
      exit(1);
   }

   for(i=0;i<(*windowsize);i++){
      x = (float)(i - center);
      fx = pow(2.71828, -0.5*x*x/(sigma*sigma)) / (sigma * sqrt(6.2831853));
      (*kernel)[i] = fx;
      sum += fx;
   }

   for(i=0;i<(*windowsize);i++) (*kernel)[i] /= sum;

   if(VERBOSE){
      printf("The filter coefficients are:\n");
      for(i=0;i<(*windowsize);i++)
         printf("kernel[%d] = %f\n", i, (*kernel)[i]);
   }
}



/*******************************************************************************
* PROCEDURE: follow_edges
* PURPOSE: This procedure edges is a recursive routine that traces edgs along
* all paths whose magnitude values remain above some specifyable lower
* threshhold.
* NAME: Mike Heath
* DATE: 2/15/96
*******************************************************************************/
void follow_edges(unsigned char *edgemapptr, short *edgemagptr, short lowval,
   int cols)
{
   short *tempmagptr;
   unsigned char *tempmapptr;
   int i;
   float thethresh;
   int x[8] = {1,1,0,-1,-1,-1,0,1},
       y[8] = {0,1,1,1,0,-1,-1,-1};

   for(i=0;i<8;i++){
      tempmapptr = edgemapptr - y[i]*cols + x[i];
      tempmagptr = edgemagptr - y[i]*cols + x[i];

      if((*tempmapptr == POSSIBLE_EDGE) && (*tempmagptr > lowval)){
         *tempmapptr = (unsigned char) EDGE;
         follow_edges(tempmapptr,tempmagptr, lowval, cols);
      }
   }
}

/*******************************************************************************
* PROCEDURE: apply_hysteresis
* PURPOSE: This routine finds edges that are above some high threshhold or
* are connected to a high pixel by a path of pixels greater than a low
* threshold.
* NAME: Mike Heath
* DATE: 2/15/96
*******************************************************************************/
void apply_hysteresis(short int *mag, unsigned char *nms, int rows, int cols,
	float tlow, float thigh, unsigned char *edge)
{
   int r, c, pos, numedges, lowcount, highcount, lowthreshold, highthreshold,
       i, hist[32768], rr, cc;
   short int maximum_mag, sumpix;

   /****************************************************************************
   * Initialize the edge map to possible edges everywhere the non-maximal
   * suppression suggested there could be an edge except for the border. At
   * the border we say there can not be an edge because it makes the
   * follow_edges algorithm more efficient to not worry about tracking an
   * edge off the side of the image.
   ****************************************************************************/
   for(r=0,pos=0;r<rows;r++){
      for(c=0;c<cols;c++,pos++){
	 if(nms[pos] == POSSIBLE_EDGE) edge[pos] = POSSIBLE_EDGE;
	 else edge[pos] = NOEDGE;
      }
   }

   for(r=0,pos=0;r<rows;r++,pos+=cols){
      edge[pos] = NOEDGE;
      edge[pos+cols-1] = NOEDGE;
   }
   pos = (rows-1) * cols;
   for(c=0;c<cols;c++,pos++){
      edge[c] = NOEDGE;
      edge[pos] = NOEDGE;
   }

   /****************************************************************************
   * Compute the histogram of the magnitude image. Then use the histogram to
   * compute hysteresis thresholds.
   ****************************************************************************/
   for(r=0;r<32768;r++) hist[r] = 0;
   for(r=0,pos=0;r<rows;r++){
      for(c=0;c<cols;c++,pos++){
	 if(edge[pos] == POSSIBLE_EDGE) hist[mag[pos]]++;
      }
   }

   /****************************************************************************
   * Compute the number of pixels that passed the nonmaximal suppression.
   ****************************************************************************/
   for(r=1,numedges=0;r<32768;r++){
      if(hist[r] != 0) maximum_mag = r;
      numedges += hist[r];
   }

   highcount = (int)(numedges * thigh + 0.5);

   /****************************************************************************
   * Compute the high threshold value as the (100 * thigh) percentage point
   * in the magnitude of the gradient histogram of all the pixels that passes
   * non-maximal suppression. Then calculate the low threshold as a fraction
   * of the computed high threshold value. John Canny said in his paper
   * "A Computational Approach to Edge Detection" that "The ratio of the
   * high to low threshold in the implementation is in the range two or three
   * to one." That means that in terms of this implementation, we should
   * choose tlow ~= 0.5 or 0.33333.
   ****************************************************************************/
   r = 1;
   numedges = hist[1];
   while((r<(maximum_mag-1)) && (numedges < highcount)){
      r++;
      numedges += hist[r];
   }
   highthreshold = r;
   lowthreshold = (int)(highthreshold * tlow + 0.5);

   if(VERBOSE){
      printf("The input low and high fractions of %f and %f computed to\n",
	 tlow, thigh);
      printf("magnitude of the gradient threshold values of: %d %d\n",
	 lowthreshold, highthreshold);
   }

   /****************************************************************************
   * This loop looks for pixels above the highthreshold to locate edges and
   * then calls follow_edges to continue the edge.
   ****************************************************************************/
   for(r=0,pos=0;r<rows;r++){
      for(c=0;c<cols;c++,pos++){
	 if((edge[pos] == POSSIBLE_EDGE) && (mag[pos] >= highthreshold)){
            edge[pos] = EDGE;
            follow_edges((edge+pos), (mag+pos), lowthreshold, cols);
	 }
      }
   }

   /****************************************************************************
   * Set all the remaining possible edges to non-edges.
   ****************************************************************************/
   for(r=0,pos=0;r<rows;r++){
      for(c=0;c<cols;c++,pos++) if(edge[pos] != EDGE) edge[pos] = NOEDGE;
   }
}

/*******************************************************************************
* PROCEDURE: non_max_supp
* PURPOSE: This routine applies non-maximal suppression to the magnitude of
* the gradient image.
* NAME: Mike Heath
* DATE: 2/15/96
*******************************************************************************/
void non_max_supp(short *mag, short *gradx, short *grady, int nrows, int ncols,
    unsigned char *result) 
{
    int rowcount, colcount,count;
    short *magrowptr,*magptr;
    short *gxrowptr,*gxptr;
    short *gyrowptr,*gyptr,z1,z2;
    short m00,gx,gy;
    float mag1,mag2,xperp,yperp;
    unsigned char *resultrowptr, *resultptr;
    

   /****************************************************************************
   * Zero the edges of the result image.
   ****************************************************************************/
    for(count=0,resultrowptr=result,resultptr=result+ncols*(nrows-1); 
        count<ncols; resultptr++,resultrowptr++,count++){
        *resultrowptr = *resultptr = (unsigned char) 0;
    }

    for(count=0,resultptr=result,resultrowptr=result+ncols-1;
        count<nrows; count++,resultptr+=ncols,resultrowptr+=ncols){
        *resultptr = *resultrowptr = (unsigned char) 0;
    }

   /****************************************************************************
   * Suppress non-maximum points.
   ****************************************************************************/
   for(rowcount=1,magrowptr=mag+ncols+1,gxrowptr=gradx+ncols+1,
      gyrowptr=grady+ncols+1,resultrowptr=result+ncols+1;
      rowcount<=nrows-2;	/* bug fix 3/29/17, RD */
      rowcount++,magrowptr+=ncols,gyrowptr+=ncols,gxrowptr+=ncols,
      resultrowptr+=ncols){   
      for(colcount=1,magptr=magrowptr,gxptr=gxrowptr,gyptr=gyrowptr,
         resultptr=resultrowptr;colcount<=ncols-2;	/* bug fix 3/29/17, RD */
         colcount++,magptr++,gxptr++,gyptr++,resultptr++){   
         m00 = *magptr;
         if(m00 == 0){
            *resultptr = (unsigned char) NOEDGE;
         }
         else{
            xperp = -(gx = *gxptr)/((float)m00);
            yperp = (gy = *gyptr)/((float)m00);
         }

         if(gx >= 0){
            if(gy >= 0){
                    if (gx >= gy)
                    {  
                        /* 111 */
                        /* Left point */
                        z1 = *(magptr - 1);
                        z2 = *(magptr - ncols - 1);

                        mag1 = (m00 - z1)*xperp + (z2 - z1)*yperp;
                        
                        /* Right point */
                        z1 = *(magptr + 1);
                        z2 = *(magptr + ncols + 1);

                        mag2 = (m00 - z1)*xperp + (z2 - z1)*yperp;
                    }
                    else
                    {    
                        /* 110 */
                        /* Left point */
                        z1 = *(magptr - ncols);
                        z2 = *(magptr - ncols - 1);

                        mag1 = (z1 - z2)*xperp + (z1 - m00)*yperp;

                        /* Right point */
                        z1 = *(magptr + ncols);
                        z2 = *(magptr + ncols + 1);

                        mag2 = (z1 - z2)*xperp + (z1 - m00)*yperp; 
                    }
                }
                else
                {
                    if (gx >= -gy)
                    {
                        /* 101 */
                        /* Left point */
                        z1 = *(magptr - 1);
                        z2 = *(magptr + ncols - 1);

                        mag1 = (m00 - z1)*xperp + (z1 - z2)*yperp;
            
                        /* Right point */
                        z1 = *(magptr + 1);
                        z2 = *(magptr - ncols + 1);

                        mag2 = (m00 - z1)*xperp + (z1 - z2)*yperp;
                    }
                    else
                    {    
                        /* 100 */
                        /* Left point */
                        z1 = *(magptr + ncols);
                        z2 = *(magptr + ncols - 1);

                        mag1 = (z1 - z2)*xperp + (m00 - z1)*yperp;

                        /* Right point */
                        z1 = *(magptr - ncols);
                        z2 = *(magptr - ncols + 1);

                        mag2 = (z1 - z2)*xperp  + (m00 - z1)*yperp; 
                    }
                }
            }
            else
            {
                if ((gy = *gyptr) >= 0)
                {
                    if (-gx >= gy)
                    {          
                        /* 011 */
                        /* Left point */
                        z1 = *(magptr + 1);
                        z2 = *(magptr - ncols + 1);

                        mag1 = (z1 - m00)*xperp + (z2 - z1)*yperp;

                        /* Right point */
                        z1 = *(magptr - 1);
                        z2 = *(magptr + ncols - 1);

                        mag2 = (z1 - m00)*xperp + (z2 - z1)*yperp;
                    }
                    else
                    {
                        /* 010 */
                        /* Left point */
                        z1 = *(magptr - ncols);
                        z2 = *(magptr - ncols + 1);

                        mag1 = (z2 - z1)*xperp + (z1 - m00)*yperp;

                        /* Right point */
                        z1 = *(magptr + ncols);
                        z2 = *(magptr + ncols - 1);

                        mag2 = (z2 - z1)*xperp + (z1 - m00)*yperp;
                    }
                }
                else
                {
                    if (-gx > -gy)
                    {
                        /* 001 */
                        /* Left point */
                        z1 = *(magptr + 1);
                        z2 = *(magptr + ncols + 1);

                        mag1 = (z1 - m00)*xperp + (z1 - z2)*yperp;

                        /* Right point */
                        z1 = *(magptr - 1);
                        z2 = *(magptr - ncols - 1);

                        mag2 = (z1 - m00)*xperp + (z1 - z2)*yperp;
                    }
                    else
                    {
                        /* 000 */
                        /* Left point */
                        z1 = *(magptr + ncols);
                        z2 = *(magptr + ncols + 1);

                        mag1 = (z2 - z1)*xperp + (m00 - z1)*yperp;

                        /* Right point */
                        z1 = *(magptr - ncols);
                        z2 = *(magptr - ncols - 1);

                        mag2 = (z2 - z1)*xperp + (m00 - z1)*yperp;
                    }
                }
            } 

            /* Now determine if the current point is a maximum point */

            if ((mag1 > 0.0) || (mag2 > 0.0))
            {
                *resultptr = (unsigned char) NOEDGE;
            }
            else
            {    
                if (mag2 == 0.0)
                    *resultptr = (unsigned char) NOEDGE;
                else
                    *resultptr = (unsigned char) POSSIBLE_EDGE;
            }
        } 
    }
}


/******************************************************************************
* Function: read_pgm_image
* Purpose: This function reads in an image in PGM format. The image can be
* read in from either a file or from standard input. The image is only read
* from standard input when infilename = NULL. Because the PGM format includes
* the number of columns and the number of rows in the image, these are read
* from the file. Memory to store the image is allocated in this function.
* All comments in the header are discarded in the process of reading the
* image. Upon failure, this function returns 0, upon sucess it returns 1.
******************************************************************************/
int read_pgm_image(char *infilename, unsigned char **image, int *rows,
    int *cols)
{
   FILE *fp;
   char buf[71];

   /***************************************************************************
   * Open the input image file for reading if a filename was given. If no
   * filename was provided, set fp to read from standard input.
   ***************************************************************************/
   if(infilename == NULL) fp = stdin;
   else{
      if((fp = fopen(infilename, "r")) == NULL){
         fprintf(stderr, "Error reading the file %s in read_pgm_image().\n",
            infilename);
         return(0);
      }
   }

   /***************************************************************************
   * Verify that the image is in PGM format, read in the number of columns
   * and rows in the image and scan past all of the header information.
   ***************************************************************************/
   fgets(buf, 70, fp);
   if(strncmp(buf,"P5",2) != 0){
      fprintf(stderr, "The file %s is not in PGM format in ", infilename);
      fprintf(stderr, "read_pgm_image().\n");
      if(fp != stdin) fclose(fp);
      return(0);
   }
   do{ fgets(buf, 70, fp); }while(buf[0] == '#');  /* skip all comment lines */
   sscanf(buf, "%d %d", cols, rows);
   do{ fgets(buf, 70, fp); }while(buf[0] == '#');  /* skip all comment lines */

   /***************************************************************************
   * Allocate memory to store the image then read the image from the file.
   ***************************************************************************/
   if(((*image) = (unsigned char *) malloc((*rows)*(*cols))) == NULL){
      fprintf(stderr, "Memory allocation failure in read_pgm_image().\n");
      if(fp != stdin) fclose(fp);
      return(0);
   }
   if((*rows) != fread((*image), (*cols), (*rows), fp)){
      fprintf(stderr, "Error reading the image data in read_pgm_image().\n");
      if(fp != stdin) fclose(fp);
      free((*image));
      return(0);
   }

   if(fp != stdin) fclose(fp);
   return(1);
}

/******************************************************************************
* Function: write_pgm_image
* Purpose: This function writes an image in PGM format. The file is either
* written to the file specified by outfilename or to standard output if
* outfilename = NULL. A comment can be written to the header if coment != NULL.
******************************************************************************/
int write_pgm_image(char *outfilename, unsigned char *image, int rows,
    int cols, char *comment, int maxval)
{
   FILE *fp;

   /***************************************************************************
   * Open the output image file for writing if a filename was given. If no
   * filename was provided, set fp to write to standard output.
   ***************************************************************************/
   if(outfilename == NULL) fp = stdout;
   else{
      if((fp = fopen(outfilename, "w")) == NULL){
         fprintf(stderr, "Error writing the file %s in write_pgm_image().\n",
            outfilename);
         return(0);
      }
   }

   /***************************************************************************
   * Write the header information to the PGM file.
   ***************************************************************************/
   fprintf(fp, "P5\n%d %d\n", cols, rows);
   if(comment != NULL)
      if(strlen(comment) <= 70) fprintf(fp, "# %s\n", comment);
   fprintf(fp, "%d\n", maxval);

   /***************************************************************************
   * Write the image data to the file.
   ***************************************************************************/
   if(rows != fwrite(image, cols, rows, fp)){
      fprintf(stderr, "Error writing the image data in write_pgm_image().\n");
      if(fp != stdout) fclose(fp);
      return(0);
   }

   if(fp != stdout) fclose(fp);
   return(1);
}

/******************************************************************************
* Function: read_ppm_image
* Purpose: This function reads in an image in PPM format. The image can be
* read in from either a file or from standard input. The image is only read
* from standard input when infilename = NULL. Because the PPM format includes
* the number of columns and the number of rows in the image, these are read
* from the file. Memory to store the image is allocated in this function.
* All comments in the header are discarded in the process of reading the
* image. Upon failure, this function returns 0, upon sucess it returns 1.
******************************************************************************/
int read_ppm_image(char *infilename, unsigned char **image_red, 
    unsigned char **image_grn, unsigned char **image_blu, int *rows,
    int *cols)
{
   FILE *fp;
   char buf[71];
   int p, size;

   /***************************************************************************
   * Open the input image file for reading if a filename was given. If no
   * filename was provided, set fp to read from standard input.
   ***************************************************************************/
   if(infilename == NULL) fp = stdin;
   else{
      if((fp = fopen(infilename, "r")) == NULL){
         fprintf(stderr, "Error reading the file %s in read_ppm_image().\n",
            infilename);
         return(0);
      }
   }

   /***************************************************************************
   * Verify that the image is in PPM format, read in the number of columns
   * and rows in the image and scan past all of the header information.
   ***************************************************************************/
   fgets(buf, 70, fp);
   if(strncmp(buf,"P6",2) != 0){
      fprintf(stderr, "The file %s is not in PPM format in ", infilename);
      fprintf(stderr, "read_ppm_image().\n");
      if(fp != stdin) fclose(fp);
      return(0);
   }
   do{ fgets(buf, 70, fp); }while(buf[0] == '#');  /* skip all comment lines */
   sscanf(buf, "%d %d", cols, rows);
   do{ fgets(buf, 70, fp); }while(buf[0] == '#');  /* skip all comment lines */

   /***************************************************************************
   * Allocate memory to store the image then read the image from the file.
   ***************************************************************************/
   if(((*image_red) = (unsigned char *) malloc((*rows)*(*cols))) == NULL){
      fprintf(stderr, "Memory allocation failure in read_ppm_image().\n");
      if(fp != stdin) fclose(fp);
      return(0);
   }
   if(((*image_grn) = (unsigned char *) malloc((*rows)*(*cols))) == NULL){
      fprintf(stderr, "Memory allocation failure in read_ppm_image().\n");
      if(fp != stdin) fclose(fp);
      return(0);
   }
   if(((*image_blu) = (unsigned char *) malloc((*rows)*(*cols))) == NULL){
      fprintf(stderr, "Memory allocation failure in read_ppm_image().\n");
      if(fp != stdin) fclose(fp);
      return(0);
   }

   size = (*rows)*(*cols);
   for(p=0;p<size;p++){
      (*image_red)[p] = (unsigned char)fgetc(fp);
      (*image_grn)[p] = (unsigned char)fgetc(fp);
      (*image_blu)[p] = (unsigned char)fgetc(fp);
   }

   if(fp != stdin) fclose(fp);
   return(1);
}

/******************************************************************************
* Function: write_ppm_image
* Purpose: This function writes an image in PPM format. The file is either
* written to the file specified by outfilename or to standard output if
* outfilename = NULL. A comment can be written to the header if coment != NULL.
******************************************************************************/
int write_ppm_image(char *outfilename, unsigned char *image_red,
    unsigned char *image_grn, unsigned char *image_blu, int rows,
    int cols, char *comment, int maxval)
{
   FILE *fp;
   long size, p;

   /***************************************************************************
   * Open the output image file for writing if a filename was given. If no
   * filename was provided, set fp to write to standard output.
   ***************************************************************************/
   if(outfilename == NULL) fp = stdout;
   else{
      if((fp = fopen(outfilename, "w")) == NULL){
         fprintf(stderr, "Error writing the file %s in write_pgm_image().\n",
            outfilename);
         return(0);
      }
   }

   /***************************************************************************
   * Write the header information to the PGM file.
   ***************************************************************************/
   fprintf(fp, "P6\n%d %d\n", cols, rows);
   if(comment != NULL)
      if(strlen(comment) <= 70) fprintf(fp, "# %s\n", comment);
   fprintf(fp, "%d\n", maxval);

   /***************************************************************************
   * Write the image data to the file.
   ***************************************************************************/
   size = (long)rows * (long)cols;
   for(p=0;p<size;p++){      /* Write the image in pixel interleaved format. */
      fputc(image_red[p], fp);
      fputc(image_grn[p], fp);
      fputc(image_blu[p], fp);
   }

   if(fp != stdout) fclose(fp);
   return(1);
}