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F.9. CODE LISTINGS FOR CHAPTER 9
509
int
segment;
long
length, width;
short background, hi, low, object, value;
short **the_image, **out_image;
/******************************************
*
*
Ensure the command line is correct.
*
******************************************/
if(argc < 8){
printf(
"\n\nmainseg in-file out-file hi low "
"value operation segment"
"\n"
"\n\thi and low are thresholds"
"\n\tvalue is output pixel value"
"\n\toperation = Threshold Grow Peaks"
" Valleys Adaptive"
"\n\tsegment is 1 (perform segmentation) "
"or 0 (don’t)");
printf("\n");
exit(0);
}
strcpy(name1, argv[1]);
strcpy(name2, argv[2]);
hi
= atoi(argv[3]);
low
= atoi(argv[4]);
value
= atoi(argv[5]);
segment = atoi(argv[7]);
if(does_not_exist(name1)){
printf("\nERROR input file %s does not exist",
name1);
exit(0);
}
/******************************************
*
*
Read the input image header, allocate
*
the image arrays, create the output
*
image, and read the input image.
*
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510
APPENDIX F. SOURCE CODE LISTINGS
******************************************/
get_image_size(name1, &length, &width);
the_image = allocate_image_array(length, width);
out_image = allocate_image_array(length, width);
create_file_if_needed(name1, name2, out_image);
read_image_array(name1, the_image);
/*********************************
*
*
Manual Threshold operation
*
*********************************/
if(argv[6][0] == ’t’ || argv[6][0] == ’T’){
manual_threshold_segmentation(
the_image, out_image,
hi, low, value, segment,
length, width);
write_image_array(name2, out_image);
} /* ends if t */
/*********************************
*
*
Grow region operation
*
*********************************/
if(argv[6][0] == ’g’ || argv[6][0] == ’G’){
grow(the_image, value,
length, width);
write_image_array(name2, the_image);
} /* ends if g */
/*********************************
*
*
Peak threshold operation
*
*********************************/
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F.9. CODE LISTINGS FOR CHAPTER 9
511
if(argv[6][0] == ’p’ || argv[6][0] == ’P’){
peak_threshold_segmentation(
the_image, out_image,
value, segment,
length, width);
write_image_array(name2, out_image);
} /* ends if p */
/*********************************
*
*
Valley threshold operation
*
*********************************/
if(argv[6][0] == ’v’ || argv[6][0] == ’V’){
valley_threshold_segmentation(
the_image, out_image,
value, segment,
length, width);
write_image_array(name2, out_image);
} /* ends if v */
/*********************************
*
*
Adaptive threshold operation
*
*********************************/
if(argv[6][0] == ’a’ || argv[6][0] == ’A’){
adaptive_threshold_segmentation(
the_image, out_image,
value, segment,
length, width);
write_image_array(name2, out_image);
} /* ends if a */
free_image_array(out_image, length);
free_image_array(the_image, length);
} /* ends main */
Listing 9.3 - The mainseg Program
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512
APPENDIX F. SOURCE CODE LISTINGS
F.10 Code Listings for Chapter 10
/*******************************************
*
*
low_pixel(..
*
*
This function replaces the pixel at
*
the center of a 3x3, 5x5, etc. area
*
with the min for that area.
*
*******************************************/
low_pixel(the_image, out_image,
rows, cols, size)
int
size;
short **the_image,
**out_image;
long
rows, cols;
{
int
a, b, count, i, j, k,
length, sd2, sd2p1, ss, width;
short *elements;
sd2
= size/2;
sd2p1 = sd2 + 1;
/**********************************************
*
*
Allocate the elements array large enough
*
to hold size*size shorts.
*
**********************************************/
ss
= size*size;
elements = (short *) malloc(ss * sizeof(short));
/***************************
*
*
Loop over image array
*
****************************/
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F.10. CODE LISTINGS FOR CHAPTER 10
513
printf("\n");
for(i=sd2; i<rows-sd2; i++){
if( (i%10) == 0) printf("%d ", i);
for(j=sd2; j<cols-sd2; j++){
count = 0;
for(a=-sd2; a<sd2p1; a++){
for(b=-sd2; b<sd2p1; b++){
elements[count] = the_image[i+a][j+b];
count++;
}
}
fsort_elements(elements, &ss);
out_image[i][j] = elements[0];
} /* ends loop over j */
} /* ends loop over i */
free(elements);
fix_edges(out_image, sd2, rows-1, cols-1);
} /* ends low_pixel */
/*******************************************
*
*
high_pixel(..
*
*
This function replaces the pixel at
*
the center of a 3x3, 5x5, etc. area
*
with the max for that area.
*
*******************************************/
high_pixel(the_image, out_image,
rows, cols, size)
int
size;
short **the_image,
**out_image;
long
rows, cols;
{
int
a, b, count, i, j, k,
length, sd2, sd2p1, ss, width;
short *elements;
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514
APPENDIX F. SOURCE CODE LISTINGS
sd2
= size/2;
sd2p1 = sd2 + 1;
/**********************************************
*
*
Allocate the elements array large enough
*
to hold size*size shorts.
*
**********************************************/
ss
= size*size;
elements = (short *) malloc(ss * sizeof(short));
/***************************
*
*
Loop over image array
*
****************************/
printf("\n");
for(i=sd2; i<rows-sd2; i++){
if( (i%10) == 0) printf("%d ", i);
for(j=sd2; j<cols-sd2; j++){
count = 0;
for(a=-sd2; a<sd2p1; a++){
for(b=-sd2; b<sd2p1; b++){
elements[count] = the_image[i+a][j+b];
count++;
}
}
fsort_elements(elements, &ss);
out_image[i][j] = elements[ss-1];
} /* ends loop over j */
} /* ends loop over i */
free(elements);
fix_edges(out_image, sd2, rows-1, cols-1);
} /* ends high_pixel */
Listing 10.1 - The high
pixel and low
pixel Subroutines
F.10. CODE LISTINGS FOR CHAPTER 10
515
/***********************************************
*
*
file segment2.c
*
*
Functions: This file contains
*
find_cutoff_point
*
edge_region
*
gray_shade_region
*
edge_gray_shade_region
*
pixel_grow
*
pixel_label_and_check_neighbors
*
is_close
*
erode_image_array
*
get_edge_region_options
*
*
Purpose:
*
These function implement the three
*
segmentation techniques in Image
*
Processing part 10.
*
*
External Calls:
*
edges.c - quick_edge
*
homogeneity
*
difference_edge
*
contrast_edge
*
gaussian_edge
*
range
*
variance
*
detect_edges
*
hist.c - calculate_histogram
*
zero_histogram
*
thresh.c - threshold_image_array
*
*
Modifications:
*
5 December 1992 - created
*
15 August 1998 - modified to work on entire
*
images at once.
*
*************************************************/
#include "cips.h"
516
APPENDIX F. SOURCE CODE LISTINGS
struct stacksp{
short
x;
short
y;
struct stacksp *next;
};
struct stacksp *stackp;
/*******************************************
*
*
find_cutoff_point(..
*
*
This function looks at a histogram
*
and sets a cuttoff point at a given
*
percentage of pixels.
*
For example, if percent=0.6, you
*
start at 0 in the histogram and count
*
up until you’ve hit 60% of the pixels.
*
Then you stop and return that pixel
*
value.
*
********************************************/
find_cutoff_point(histogram, percent,
cutoff, rows, cols)
unsigned long histogram[];
float
percent;
long
cols, rows;
short
*cutoff;
{
float fd, fsum, sum_div;
int
i, looking;
long
lc, lr, num=0, sum=0;
sum
= 0;
i
= 0;
lr
= (long)(rows);
lc
= (long)(cols);
num
= lr*lc;
fd
= (float)(num);
while(looking){
F.10. CODE LISTINGS FOR CHAPTER 10
517
fsum
= (float)(sum);
sum_div = fsum/fd;
if(sum_div >= percent)
looking = 0;
else
sum = sum + histogram[i++];
} /* ends while looking */
if(i >= (GRAY_LEVELS+1)) i = GRAY_LEVELS;
*cutoff = i;
printf("\nCutoff is %d sum=%ld", *cutoff, sum);
} /* ends find_cutoff_point */
/*******************************************
*
*
erode_image_array(..
*
*
This function erodes pixels. If a pixel
*
equals value and has more than threshold
*
neighbors equal to 0, then set that
*
pixel in the output to 0.
*
*******************************************/
erode_image_array(the_image, out_image,
value, threshold,
rows, cols)
short **the_image,
**out_image,
threshold,
value;
long
cols, rows;
{
int
a, b, count, i, j, k,
length, width;
/***************************
*
*
Loop over image array
*
****************************/
518
APPENDIX F. SOURCE CODE LISTINGS
for(i=0; i<rows; i++)
for(j=0; j<cols; j++)
out_image[i][j] = the_image[i][j];
printf("\n");
for(i=1; i<rows-1; i++){
if( (i%10) == 0) printf("%3d", i);
for(j=1; j<cols-1; j++){
if(the_image[i][j] == value){
count = 0;
for(a=-1; a<=1; a++){
for(b=-1; b<=1; b++){
if(the_image[i+a][j+b] == 0)
count++;
} /* ends loop over b */
} /* ends loop over a */
if(count > threshold) out_image[i][j] = 0;
} /* ends if the_image == value */
} /* ends loop over j */
} /* ends loop over i */
} /* ends erode_image_array */
/**********************************************
*
*
pixel_grow(...
*
*
The function grows regions. It is similar
*
to the grow function in segment.c, but it
*
has several new capabilities. It can
*
eliminate regions if they are too large or
*
too small.
*
*
It ignores pixels = FORGET_IT. This allows
*
it to ignore edges or regions already
*
eliminated from consideration.
*
*
It adds pixels to a growing region only if
*
the pixel is close enough to the average gray
*
level of that region.
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