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F.9. CODE LISTINGS FOR CHAPTER 9
499
for(i=0; i<mid_point; i++)
sum1 = sum1 + histogram[i];
for(i=mid_point; i<=GRAY_LEVELS; i++)
sum2 = sum2 + histogram[i];
if(sum1 >= sum2){
*low = mid_point;
*hi = GRAY_LEVELS;
}
else{
*low = 0;
*hi = mid_point;
}
} /* ends peaks_high_low */
/************************************************
*
*
valley_threshold_segmentation(...
*
*
This function segments an image using
*
thresholding. It uses the histogram valleys
*
to find the hi and low values of the
*
threshold.
*
*
If the segment parameter is 0, you only
*
threshold the array - you do not segment.
*
*************************************************/
valley_threshold_segmentation(the_image, out_image,
value, segment,
rows, cols)
int
rows, cols, segment;
short **the_image,
**out_image, value;
{
int
peak1, peak2;
short
hi, low;
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500
APPENDIX F. SOURCE CODE LISTINGS
unsigned long histogram[GRAY_LEVELS+1];
zero_histogram(histogram, GRAY_LEVELS+1);
calculate_histogram(the_image, histogram, rows, cols);
smooth_histogram(histogram, GRAY_LEVELS+1);
find_peaks(histogram, &peak1, &peak2);
valley_high_low(histogram, peak1, peak2,
&hi, &low);
threshold_image_array(the_image, out_image,
hi, low, value, rows, cols);
if(segment == 1)
grow(out_image, value, rows, cols);
} /* ends valley_threshold_segmentation */
/********************************************
*
*
valley_high_low(...
*
*
This function uses the histogram array
*
and the valleys to find the best high and
*
low threshold values for the threshold
*
function. You want the hi and low values
*
so that you will threshold the image around
*
the smaller of the two "humps" in the
*
histogram. This is because the smaller
*
hump represents the objects while the
*
larger hump represents the background.
*
*********************************************/
valley_high_low(histogram, peak1, peak2, hi, low)
int peak1, peak2;
short *hi, *low;
unsigned long histogram[];
{
int i, valley_point;
unsigned long sum1 = 0, sum2 = 0;
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F.9. CODE LISTINGS FOR CHAPTER 9
501
find_valley_point(histogram, peak1, peak2,
&valley_point);
/*printf("\nVHL> valley point is %d",
valley_point);*/
for(i=0; i<valley_point; i++)
sum1 = sum1 + histogram[i];
for(i=valley_point; i<=GRAY_LEVELS; i++)
sum2 = sum2 + histogram[i];
if(sum1 >= sum2){
*low = valley_point;
*hi = GRAY_LEVELS;
}
else{
*low = 0;
*hi = valley_point;
}
} /* ends valley_high_low */
/********************************************
*
*
find_valley_point(...
*
*
This function finds the low point of
*
the valley between two peaks in a
*
histogram. It starts at the lowest
*
peak and works its way up to the
*
highest peak. Along the way, it looks
*
at each point in the histogram and inserts
*
them into a list of points. When done,
*
it has the location of the smallest histogram
*
point - that is the valley point.
*
*
The deltas array holds the delta value
*
in the first place and its location in
*
the second place.
*
*********************************************/
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502
APPENDIX F. SOURCE CODE LISTINGS
find_valley_point(histogram, peak1,
peak2, valley_point)
int peak1, peak2, *valley_point;
unsigned long histogram[];
{
int deltas[PEAKS][2], delta_hist, i;
for(i=0; i<PEAKS; i++){
deltas[i][0] = 10000;
deltas[i][1] =
-1;
}
if(peak1 < peak2){
for(i=peak1+1; i<peak2; i++){
delta_hist = (int)(histogram[i]);
insert_into_deltas(deltas, delta_hist, i);
} /* ends loop over i */
} /* ends if peak1 < peak2 */
if(peak2 < peak1){
for(i=peak2+1; i<peak1; i++){
delta_hist = (int)(histogram[i]);
insert_into_deltas(deltas, delta_hist, i);
} /* ends loop over i */
} /* ends if peak2 < peak1 */
*valley_point = deltas[0][1];
} /* ends find_valley_point */
/********************************************
*
*
insert_into_deltas(...
*
*
This function inserts histogram deltas
*
into a deltas array. The smallest delta
*
will be at the top of the array.
*
*
The objective is to build a list of
*
histogram area deltas and thier locations.
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F.9. CODE LISTINGS FOR CHAPTER 9
503
*
*
The deltas array holds the delta value
*
in the first place and its location in
*
the second place.
*
*********************************************/
insert_into_deltas(deltas, value, place)
int value, place, deltas[PEAKS][2];
{
int i, j;
/* first case */
if(value < deltas[0][0]){
for(i=PEAKS-1; i>0; i--){
deltas[i][0] = deltas[i-1][0];
deltas[i][1] = deltas[i-1][1];
}
deltas[0][0] = value;
deltas[0][1] = place;
} /* ends if */
/* middle cases */
for(j=0; j<PEAKS-3; j++){
if(value > deltas[j][0] &&
value < deltas[j+1][0]){
for(i=PEAKS-1; i>j+1; i--){
deltas[i][0] = deltas[i-1][0];
deltas[i][1] = deltas[i-1][1];
}
deltas[j+1][0] = value;
deltas[j+1][1] = place;
} /* ends if */
} /* ends loop over j */
/* last case */
if(value > deltas[PEAKS-2][0] &&
value < deltas[PEAKS-1][0]){
deltas[PEAKS-1][0] = value;
deltas[PEAKS-1][1] = place;
} /* ends if */
} /* ends insert_into_deltas */
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504
APPENDIX F. SOURCE CODE LISTINGS
/************************************************
*
*
adaptive_threshold_segmentation(...
*
*
This function segments an image using
*
thresholding. It uses two passes
*
to find the hi and low values of the
*
threshold. The first pass uses the peaks
*
of the histogram to find the hi and low
*
threshold values. It thresholds the image
*
using these hi lows and calculates the means
*
of the object and background. Then we use
*
these means as new peaks to calculate new
*
hi and low values. Finally, we threshold
*
the image again using these second hi low
*
hi low values.
*
*
If the segment parameter is 0, you only
*
threshold the array - you do not segment.
*
*************************************************/
adaptive_threshold_segmentation(the_image, out_image,
value, segment,
rows, cols)
int
rows, cols, segment;
short **the_image,
**out_image, value;
{
int
peak1, peak2;
short
background, hi, low, object;
unsigned long histogram[GRAY_LEVELS+1];
zero_histogram(histogram, GRAY_LEVELS+1);
calculate_histogram(the_image, histogram,
rows, cols);
smooth_histogram(histogram, GRAY_LEVELS+1);
find_peaks(histogram, &peak1, &peak2);
peaks_high_low(histogram, peak1, peak2,
&hi, &low);
threshold_and_find_means(the_image, out_image,
hi, low, value,
&object, &background,
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F.9. CODE LISTINGS FOR CHAPTER 9
505
rows, cols);
peaks_high_low(histogram, object, background,
&hi, &low);
threshold_image_array(the_image, out_image,
hi, low, value,
rows, cols);
if(segment == 1)
grow(out_image, value, rows, cols);
} /* ends adaptive_threshold_segmentation */
/**************************************************
*
*
threshold_and_find_means(...
*
*
This function thresholds an input image array
*
and produces a binary output image array.
*
If the pixel in the input array is between
*
the hi and low values, then it is set to value.
*
Otherwise, it is set to 0.
*
***************************************************/
threshold_and_find_means(in_image, out_image, hi,
low, value, object_mean,
background_mean,
rows, cols)
short *background_mean, hi, low,
**in_image, *object_mean,
**out_image, value;
int
rows, cols;
{
int
counter = 0,
i,
j;
unsigned long object
= 0,
background = 0;
for(i=0; i<rows; i++){
for(j=0; j<cols; j++){
if(in_image[i][j] >= low &&
506
APPENDIX F. SOURCE CODE LISTINGS
in_image[i][j] <= hi){
out_image[i][j] = value;
counter++;
object = object + in_image[i][j];
}
else{
out_image[i][j] = 0;
background
= background + in_image[i][j];
}
} /* ends loop over j */
} /* ends loop over i */
object
= object/counter;
background = background/((rows*cols)-counter);
*object_mean
= (short)(object);
*background_mean = (short)(background);
printf("\n\tTAFM> set %d points", counter);
printf("\n\tTAFM> object=%d background=%d",
*object_mean, *background_mean);
} /* ends threshold_and_find_means */
show_stack()
{
char r[80];
struct stacks *temp;
temp = stack;
while(temp != NULL){
printf("\n\t\t\t\t%d %d %x %x",
temp->x,temp->y, temp, temp->next);
temp = temp->next;
}
}
int is_not_empty(pointer)
struct stacks *pointer;
{
int result = 0;
if(pointer != NULL)
F.9. CODE LISTINGS FOR CHAPTER 9
507
result = 1;
return(result);
} /* ends is_empty */
push(x, y)
short x, y;
{
char r[80];
struct stacks *new_one;
new_one = (struct stacks *)
calloc(1, sizeof(struct stacks ));
new_one->next = stack;
new_one->x
= x;
new_one->y
= y;
stack
= new_one;
} /* ends push */
pop(x, y)
short *x, *y;
{
struct stacks *temp;
temp
= stack;
*x
= stack->x;
*y
= stack->y;
stack
= stack->next;
free(temp);
} /* ends pop */
Listing 9.2 - The Segmentation Subroutines
508
APPENDIX F. SOURCE CODE LISTINGS
/***********************************************
*
*
file mainseg.c
*
*
Functions: This file contains
*
main
*
*
Purpose:
*
This file contains the main calling
*
routine in a segmentation and related
*
operations program.
*
*
External Calls:
*
imageio.c - create_image_file
*
read_image_array
*
write_image_array
*
get_image_size
*
allocate_image_array
*
free_image_array
*
segment.c - threshold_image_array
*
grow
*
find_peaks
*
peaks_high_low
*
valley_high_low
*
threshold_and_find_means
*
*
Modifications:
*
27 September 1992 - created
*
15 August 1998 - modified to work on entire
*
images at once.
*
19 September 1998 - modified to work with
*
all I O routines in imageio.c.
*
*************************************************/
#include "cips.h"
main(argc, argv)
int argc;
char *argv[];
{
char
name1[80], name2[80], response[80];
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