int main(int argc, char *argv[])
{ FILE *output;
Process_Arguments(argc,argv,Spec,0);
#ifdef PROGRESS
printf("\nParameters: c=%g e=%g s=%d\n",
Get_Double_Arg("-c"),Get_Double_Arg("-e"),Get_Int_Arg("-s"));
printf("SubFolder: %s\n",Get_String_Arg("folder"));
printf("CoreName: %s\n",Get_String_Arg("core"));
fflush(stdout);
#endif
RezFolder = strdup(Get_String_Arg("folder"));
if (RezFolder[strlen(RezFolder)-1] == '/')
RezFolder[strlen(RezFolder)-1] = '\0';
if (mkdir(RezFolder,S_IRWXU|S_IRWXG|S_IRWXO))
{ if (errno != EEXIST)
{ fprintf(stderr,"Error trying to create directory %s: %s\n",RezFolder,strerror(errno));
exit (1);
}
}
CoreName = strdup(Get_String_Arg("core"));
sprintf(NameBuf,"%s.neu",CoreName);
output = fopen(NameBuf,"w");
fprintf(output,"NEUSEP: Version 0.9\n");
{ Histogram *hist;
int curchan;
int maxchans;
int i, n;
n = Get_Repeat_Count("inputs");
fwrite(&n,sizeof(int),1,output);
hist = Make_Histogram(UVAL,0x10000,VALU(1),VALU(0));
maxchans = 0;
for (i = 0; i < n; i++)
{
curchan = NumChans;
maxchans = Read_All_Channels(Get_String_Arg("inputs",i),maxchans);
int channelsInCurrentFile=NumChans-curchan;
{ Size_Type sum, max;
Indx_Type p;
int j, wch;
uint16 *val;
max = -1;
for (j = curchan; j < NumChans; j++)
{ val = AUINT16(Images[j]);
sum = 0;
for (p = 0; p < Images[j]->size; p++)
sum += val[p];
if (sum > max)
{ max = sum;
wch = j;
}
}
fprintf(output,"%s\n",Get_String_Arg("inputs",i));
j = wch-curchan;
fwrite(&j,sizeof(int),1,output);
#ifdef PROGRESS
printf("\n Eliminating channel %d from %s\n",j+1,Get_String_Arg("inputs",i));
fflush(stdout);
#endif
{
// Section to write out the reference channel
printf("\n Considering reference channel output, channelsInCurrentFile=%d\n", channelsInCurrentFile);
fflush(stdout);
if (channelsInCurrentFile>2) { // should work with both lsm pair with channels=3, or raw file with channels=4
sprintf(NameBuf,"%s/Reference.tif",RezFolder,CoreName,i);
Write_Image(NameBuf,Images[wch],LZW_PRESS);
}
}
Free_Array(Images[wch]);
NumChans -= 1;
for (j = wch; j < NumChans; j++)
Images[j] = Images[j+1];
}
{ int j, ceil;
Indx_Type p;
uint16 *val;
for (j = curchan; j < NumChans; j++)
{
Histagain_Array(hist,Images[j],0);
ceil = Percentile2Bin(hist,1e-5);
if (ceil==0) {
fprintf(stderr, "Channel must have non-zero values for this program to function\n");
exit(1);
}
#ifdef PROGRESS
printf(" Clipping channel %d at ceil = %d\n",j,ceil); fflush(stdout);
fflush(stdout);
#endif
val = AUINT16(Images[j]);
for (p = 0; p < Images[j]->size; p++)
{ if (val[p] > ceil)
val[p] = ceil;
val[p] = (val[p]*255)/ceil;
}
Convert_Array_Inplace(Images[j],PLAIN_KIND,UINT8_TYPE,8,0);
}
}
}
Free_Histogram(hist);
printf("Starting ConsolidatedSignal.tif section\n");
fflush(stdout);
// NA addition: write tif with re-scaled intensities to serve as basis for mask file
{
Array *signalStack;
signalStack = Make_Array(RGB_KIND,UINT8_TYPE,3,Images[0]->dims);
uint8 *sp=AUINT8(signalStack);
int m;
Indx_Type signalIndex;
signalIndex=0;
for (m=0;m<NumChans;m++) {
uint8 *ip=AUINT8(Images[m]);
Indx_Type channelIndex;
for (channelIndex=0;channelIndex<Images[m]->size;channelIndex++) {
sp[signalIndex++]=ip[channelIndex];
}
}
sprintf(NameBuf,"%s/ConsolidatedSignal.tif", RezFolder);
Write_Image(NameBuf,signalStack,LZW_PRESS);
//Free_Array(signalStack); - this is causing a bug
}
printf("Finished ConsolidatedSignal.tif section\n");
fflush(stdout);
}
{ int i;
Segmentation *segs;
Overlaps *ovl;
Clusters *clust;
int numneur;
Region **neurons;
segs = (Segmentation *) Guarded_Malloc(sizeof(Segmentation)*NumChans,Program_Name());
for (i = 0; i < NumChans; i++)
{ Segment_Channel(Images[i],segs+i);
if (i == 0)
segs[i].base = 0;
else
segs[i].base = segs[i-1].base + segs[i-1].nsegs;
printf("channel=%d segmentBase=%d\n", i, segs[i].base);
}
ovl = Find_Overlaps(segs);
clust = Merge_Segments(segs,ovl);
neurons = Segment_Clusters(segs,ovl,clust,&numneur);
if (Is_Arg_Matched("-gp"))
Output_Clusters(segs,ovl,clust);
if (Is_Arg_Matched("-nr"))
Output_Neurons(numneur,neurons,1);
// Added for NA
Output_Consolidated_Mask(numneur,neurons,1);
fwrite(&numneur,sizeof(int),1,output);
for (i = 0; i < numneur; i++)
Write_Region(neurons[i],output);
#ifdef PROGRESS
printf("\nProduced %d neurons/fragments in %s.neu\n",numneur,CoreName);
fflush(stdout);
#endif
printf("DEBUG: starting cleanup\n");
fflush(stdout);
for (i = 0; i < numneur; i++) {
printf("DEBUG: calling Kill_Region on neuron=%d\n", i);
fflush(stdout);
Kill_Region(neurons[i]);
}
printf("DEBUG: calling Kill_Clusters\n");
fflush(stdout);
Kill_Clusters(clust);
printf("DEBUG: calling Kill_Overlaps\n");
fflush(stdout);
//Kill_Overlaps(ovl); - causing a bug
printf("DEBUG: starting Kill_Segmentation loop\n");
fflush(stdout);
for (i = 0; i < NumChans; i++) {
printf("DEBUG: Kill_Segmentation on index=%d\n", i);
fflush(stdout);
Kill_Segmentation(segs+i);
}
printf("DEBUG: calling free() on segs\n");
fflush(stdout);
free(segs);
}
printf("DEBUG: starting filestream cleanup\n");
fflush(stdout);
{ int i;
fclose(output);
free(CoreName);
free(RezFolder);
for (i = 0; i < NumChans; i++)
Kill_Array(Images[i]);
free(Images);
}
#ifdef VERBOSE
printf("\nDid I free all arrays?:\n");
Print_Inuse_List(stdout,4);
#endif
exit (0);
}
void RasterizedImage::ScaleTo8bit(){
Scale_Array_To_Range((*image_),ValU(0),ValU(255));
Convert_Array_Inplace((*image_),PLAIN_KIND,UINT8_TYPE,8,0);
}
/*
Method that presents the image arr with a grid overlap
@param image: input image stack
@param imgPara: input parameter
@param name: name of the output file
@param arr: image which should be plotted
*/
void ShowArray(RasterizedImage & img, ParaSet & imgPara, char * name, Array * arr)
{
Dimn_Type x, y, z;
Array * a, * b;
if (imgPara.grid == false){
Write_Image((char *) name, arr, DONT_PRESS);
return;
}
// Conversion of the image arr into an RGB-Kind image
if (arr->type != UINT8_TYPE){
b = Copy_Array(arr);
Scale_Array_To_Range(b,ValU(0),ValU(255));
Convert_Array_Inplace(b,b->kind,UINT8_TYPE,8,0);
} else {
b = arr;
}
if (b->kind != RGB_KIND){
if (b == arr){
a = Convert_Array(b,RGB_KIND,b->type,b->scale,0);
} else {
a = Convert_Array_Inplace(b,RGB_KIND,b->type,b->scale,0);
}
} else {
a = b;
}
// Plotting of the image grid
if (a->ndims == 4)
for (z = 0; z < img.GetDepth(); z++){
for (y = 0; y < img.GetGridY(); y++) {
if (y % 50 == 0 && y != 0){
Draw_Line(a,&YELLOW,Coord3(z,y*imgPara.radius,0),Coord3(z,y*imgPara.radius,img.GetGridX()*imgPara.radius-1));
} else if (y % 10 == 0 && y != 0){
Draw_Line(a,&PURPLE,Coord3(z,y*imgPara.radius,0),Coord3(z,y*imgPara.radius,img.GetGridX()*imgPara.radius-1));
} else {
Draw_Line(a,&CYAN,Coord3(z,y*imgPara.radius,0),Coord3(z,y*imgPara.radius,img.GetGridX()*imgPara.radius-1));
}
for (x = 0; x < img.GetGridX(); x++){
if (x % 50 == 0 && x != 0){
Draw_Line(a,&YELLOW,Coord3(z,0,x*imgPara.radius),Coord3(z,img.GetGridY()*imgPara.radius-1,x*imgPara.radius));
} else if (x % 10 == 0 && x != 0){
Draw_Line(a,&PURPLE,Coord3(z,0,x*imgPara.radius),Coord3(z,img.GetGridY()*imgPara.radius-1,x*imgPara.radius));
} else {
Draw_Line(a,&CYAN,Coord3(z,0,x*imgPara.radius),Coord3(z,img.GetGridY()*imgPara.radius-1,x*imgPara.radius));
}
}
}
}
else{
for (y = 0; y < img.GetGridY(); y++){
if (y % 50 == 0 && y != 0){
Draw_Line(a,&YELLOW,Coord2(y*imgPara.radius,0),Coord2(y*imgPara.radius,img.GetGridX()*imgPara.radius-1));
} else if (y % 10 == 0 && y != 0){
Draw_Line(a,&PURPLE,Coord2(y*imgPara.radius,0),Coord2(y*imgPara.radius,img.GetGridX()*imgPara.radius-1));
} else{
Draw_Line(a,&CYAN,Coord2(y*imgPara.radius,0),Coord2(y*imgPara.radius,img.GetGridX()*imgPara.radius-1));
}
for (x = 0; x < img.GetGridX(); x++){
if (x % 50 == 0 && x != 0){
Draw_Line(a,&YELLOW,Coord2(0,x*imgPara.radius),Coord2(img.GetGridY()*imgPara.radius-1,x*imgPara.radius));
} else if (x % 10 == 0 && x != 0){
Draw_Line(a,&PURPLE,Coord2(0,x*imgPara.radius),Coord2(img.GetGridY()*imgPara.radius-1,x*imgPara.radius));
} else{
Draw_Line(a,&CYAN,Coord2(0,x*imgPara.radius),Coord2(img.GetGridY()*imgPara.radius-1,x*imgPara.radius));
}
}
}
}
Write_Image(name, a, DONT_PRESS);
if (arr != a)
Free_Array(a);
}
