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F.11. CODE LISTINGS FOR CHAPTER 11
559
/**************************************
*
*
Copy the output back to the input.
*
**************************************/
for(i=0; i<rows; i++)
for(j=0; j<cols; j++)
the_image[i][j] = out_image[i][j];
/***************************
*
*
Scan bottom to top
*
Do this by scanning top
*
to bottom and look for
*
value-0 transition.
*
****************************/
printf("\n");
for(j=1; j<cols-1; j++){
if( (j%10) == 0) printf("%3d", j);
for(i=1; i<rows-1; i++){
if(the_image[i+1][j] == 0
&&
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){
if(can_thin(the_image, i, j, value)){
out_image[i][j] = 0;
big_count++;
} /* ends if can_thin */
} /* ends if count > threshold */
} /* ends if the_image == value */
} /* ends loop over i */
} /* ends loop over j */
/**************************************
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560
APPENDIX F. SOURCE CODE LISTINGS
*
*
Copy the output back to the input.
*
**************************************/
for(i=0; i<rows; i++)
for(j=0; j<cols; j++)
the_image[i][j] = out_image[i][j];
/**************************************
*
*
Now look at the result of this big
*
pass through the image.
*
***************************************/
printf("\n\nThinned %d pixels", big_count);
if(big_count == 0)
not_finished = 0;
else{
for(i=0; i<rows; i++)
for(j=0; j<cols; j++)
the_image[i][j] = out_image[i][j];
} /* ends else */
} /* ends while not_finished */
/****
fix_edges(out_image, 3, rows, cols);
*****/
} /* ends thinning */
/*******************************************
*
*
can_thin(...
*
*
Look at the neighbors of the center pixel.
*
If a neighbor == value, then it must
*
have a neighbor == value other than the
*
center pixel.
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F.11. CODE LISTINGS FOR CHAPTER 11
561
*
*
Procedure:
*
. Copy the 3x3 area surrounding pixel
*
i,j to a temp array.
*
. Set the center pixel to zero.
*
. Look at each non-zero pixel in temp.
*
. If you cannot find a non-zero
*
neighbor.
*
. Then you cannot thin.
*
*******************************************/
can_thin(the_image, i, j, value)
int
i, j;
short **the_image, value;
{
int
a, b, c, d, count,
no_neighbor, one=1, zero=0;
short temp[3][3];
/**************************************
*
*
Copy the center pixel and its
*
neighbors to the temp array.
*
***************************************/
for(a=-1; a<2; a++)
for(b=-1; b<2; b++)
temp[a+1][b+1] = the_image[i+a][b+j];
/**************************************
*
*
Set the center of temp to 0.
*
***************************************/
temp[1][1] = 0;
/**************************************
*
*
Check the non-zero pixels in temp.
*
***************************************/
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562
APPENDIX F. SOURCE CODE LISTINGS
for(a=0; a<3; a++){
for(b=0; b<3; b++){
if(temp[a][b] == value){
temp[a][b] = 0;
/*********************************
*
*
Check the neighbors of this pixel
*
If there is a single non-zero
*
neighbor, set no_neighbor = 0.
*
**********************************/
no_neighbor = 1;
for(c=-1; c<2; c++){
for(d=-1; d<2; d++){
if( ((a+c) >= 0)
&&
((a+c) <= 2)
&&
((b+d) >= 0)
&&
((b+d) <= 2)){
if(temp[a+c][b+d] == value){
no_neighbor = 0;
} /* ends if temp == value */
} /* ends if part of temp array */
} /* ends loop over d */
} /* ends loop over c */
temp[a][b] = value;
/*********************************
*
*
If the non-zero pixel did not
*
have any non-zero neighbors,
*
no_neighbor still equals 1,
*
and we cannot thin, so return
*
zero.
*
**********************************/
if(no_neighbor){
return(zero);
}
} /* ends if temp[a][b] == value */
} /* ends loop over b */
} /* ends loop over a */
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F.11. CODE LISTINGS FOR CHAPTER 11
563
/**************************************
*
*
First, ensure the object is more
*
than two wide. If it is two wide,
*
you will thin out the entire object.
*
Check in all eight directions.
*
If the distance to a zero is 0 or
*
>= 2, then ok you can thin so go
*
on to the remainder of this routine.
*
If not, you cannot thin so return
*
zero.
*
***************************************/
return(one);
} /* ends can_thin */
/*******************************************
*
*
special_closing(...
*
*
Closing is dilation followed by erosion.
*
This routine will use the dilate_not_join
*
dilation routine. This will not allow
*
two separate objects to join.
*
*
The number parameter specifies how
*
dilations to perform before doing one
*
erosion.
*
*******************************************/
special_closing(the_image, out_image,
value, threshold, number,
rows, cols)
int
number;
short **the_image,
**out_image,
threshold, value;
long
cols, rows;
{
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564
APPENDIX F. SOURCE CODE LISTINGS
int
a, b, count, i, j, k;
dilate_not_join(the_image, out_image,
value, threshold,
rows, cols);
if(number > 1){
count = 1;
while(count < number){
count++;
dilate_not_join(the_image, out_image,
value, threshold,
rows, cols);
} /* ends while */
} /* ends if number > 1 */
erosion(the_image, out_image,
value, threshold,
rows, cols);
} /* ends special_closing */
/*******************************************
*
*
dilate_not_join(...
*
*
Use a variation of the grass fire
*
wave front approach.
*
*
Raster scan the image left to right
*
and examine and dilate the left edge pixels
*
(a value to 0 transition). Process them
*
normally and "save" the result. Next,
*
raster scan the image right to left and
*
save. Raster scan top to bottom and save.
*
Raster scan bottom to top and save.
*
*
That is one complete pass.
*
*******************************************/
dilate_not_join(the_image, out_image,
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F.11. CODE LISTINGS FOR CHAPTER 11
565
value, threshold,
rows, cols)
short **the_image,
**out_image,
threshold, value;
long
cols, rows;
{
int
a, b, count, i, j, k;
for(i=0; i<rows; i++)
for(j=0; j<cols; j++)
out_image[i][j] = the_image[i][j];
/***************************
*
*
Scan left to right
*
Look for value-0 transition
*
****************************/
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-1] == value &&
the_image[i][j]
== 0){
count = 0;
for(a=-1; a<=1; a++){
for(b=-1; b<=1; b++){
if(the_image[i+a][j+b]==value)
count++;
} /* ends loop over b */
} /* ends loop over a */
if(count > threshold){
if(can_dilate(the_image,i,j,value)){
out_image[i][j] = value;
} /* ends if can_dilate */
} /* ends if count > threshold */
} /* ends if the_image == value */
} /* ends loop over j */
} /* ends loop over i */
/**************************************
*
*
Copy the output back to the input.
566
APPENDIX F. SOURCE CODE LISTINGS
*
**************************************/
for(i=0; i<rows; i++)
for(j=0; j<cols; j++)
the_image[i][j] = out_image[i][j];
/***************************
*
*
Scan right to left
*
Do this by scanning left
*
to right and look for
*
0-value transition.
*
****************************/
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+1] == value
&&
the_image[i][j]
== 0){
count = 0;
for(a=-1; a<=1; a++){
for(b=-1; b<=1; b++){
if(the_image[i+a][j+b]==value)
count++;
} /* ends loop over b */
} /* ends loop over a */
if(count > threshold){
if(can_dilate(the_image,i,j,value)){
out_image[i][j] = value;
} /* ends if can_dilate */
} /* ends if count > threshold */
} /* ends if the_image == value */
} /* ends loop over j */
} /* ends loop over i */
/**************************************
*
*
Copy the output back to the input.
*
**************************************/
F.11. CODE LISTINGS FOR CHAPTER 11
567
for(i=0; i<rows; i++)
for(j=0; j<cols; j++)
the_image[i][j] = out_image[i][j];
/***************************
*
*
Scan top to bottom
*
Look for value-0 transition
*
****************************/
printf("\n");
for(j=1; j<cols-1; j++){
if( (j%10) == 0) printf("%3d", j);
for(i=1; i<rows-1; i++){
if(the_image[i-1][j] == value
&&
the_image[i][j]
== 0){
count = 0;
for(a=-1; a<=1; a++){
for(b=-1; b<=1; b++){
if(the_image[i+a][j+b]==value)
count++;
} /* ends loop over b */
} /* ends loop over a */
if(count > threshold){
if(can_dilate(the_image,i,j,value)){
out_image[i][j] = value;
} /* ends if can_dilate */
} /* ends if count > threshold */
} /* ends if the_image == value */
} /* ends loop over i */
} /* ends loop over j */
/**************************************
*
*
Copy the output back to the input.
*
**************************************/
for(i=0; i<rows; i++)
for(j=0; j<cols; j++)
the_image[i][j] = out_image[i][j];
568
APPENDIX F. SOURCE CODE LISTINGS
/***************************
*
*
Scan bottom to top
*
Do this by scanning top
*
to bottom and look for
*
0-value transition.
*
****************************/
printf("\n");
for(j=1; j<cols-1; j++){
if( (j%10) == 0) printf("%3d", j);
for(i=1; i<rows-1; i++){
if(the_image[i+1][j] == value
&&
the_image[i][j]
== 0){
count = 0;
for(a=-1; a<=1; a++){
for(b=-1; b<=1; b++){
if(the_image[i+a][j+b]==value)
count++;
} /* ends loop over b */
} /* ends loop over a */
if(count > threshold){
if(can_dilate(the_image,i,j,value)){
out_image[i][j] = value;
} /* ends if can_dilate */
} /* ends if count > threshold */
} /* ends if the_image == value */
} /* ends loop over i */
} /* ends loop over j */
/**************************************
*
*
Copy the output back to the input.
*
**************************************/
for(i=0; i<rows; i++)
for(j=0; j<cols; j++)
the_image[i][j] = out_image[i][j];
/****
fix_edges(out_image, 3, rows, cols);
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