void closing(char A[MAX_MN][MAX_MN+1], char B[MAX_B][MAX_B+1],
char C[MAX_MN][MAX_MN+1])
{
char temp[MAX_MN][MAX_MN+1];
dilation(A, B, temp);
erosion(temp, B, C);
}
static void bothat( const std::vector<ValueT> & input, std::vector<ValueT> & output, const UInt struc_elem_length )
{
const Int size = Int(input.size());
std::vector<ValueT> closing;
dilation(input,output,struc_elem_length);
erosion(output,closing,struc_elem_length);
for ( Int index = 0; index < size; ++ index )
{
output[index] = input[index] - closing[index];
}
return;
}
Mat IITkgp_functions::Morphology::boundaryextraction(Mat image)
{
int i,j;
Mat erodedimage;
Mat extractedimage;
image.copyTo(erodedimage);
image.copyTo(extractedimage);
int row,col;
row = image.rows;
col = image.cols;
for(i=0;i<row;i++)
{
for(j=0;j<col;j++)
{
erodedimage.data[i*col+j] = 255;
extractedimage.data[i*col+j] = 255;
}
}
erodedimage=erosion(image);
for(i=0;i<row;i++)
{
for(j=0;j<col;j++)
{
if(image.data[i*col+j]==erodedimage.data[i*col+j])
extractedimage.data[i*col+j]=255;
else
extractedimage.data[i*col+j]=0;
}
}
return(extractedimage);
}
Imlib_Image opening(Imlib_Image *source_image,double thresh,luminance_t lt,int n)
{
int i;
Imlib_Image temp_image1, temp_image2;
/* erosion n times */
imlib_context_set_image(*source_image);
temp_image1 = temp_image2 = imlib_clone_image();
for(i=0; i<n; i++) {
temp_image2 = erosion(&temp_image1, thresh, lt);
imlib_context_set_image(temp_image1);
imlib_free_image();
temp_image1 = temp_image2;
}
/* dilation n times */
for(i=0; i<n; i++) {
temp_image2 = dilation(&temp_image1, thresh, lt);
imlib_context_set_image(temp_image1);
imlib_free_image();
temp_image1 = temp_image2;
}
return temp_image2;
}
void ProcessFrame(uint8 *pInputImg)
{
uint8_t thres = (uint8_t)data.ipc.state.nThreshold;
/* if the threshold is 0, the otsu algorithm is used */
if(thres == 0)
{
thres = otsu(IMAGE(GRAYSCALE));
}
data.ipc.state.thres_calc = thres;
/* make the threshold image */
thresh(IMAGE(THRESHOLD), IMAGE(GRAYSCALE), thres);
/* dilation */
dilation(IMAGE(DILATION), IMAGE(THRESHOLD));
/* erosion */
erosion(IMAGE(EROSION), IMAGE(DILATION));
/* do the region labeling stuff */
region_labeling(IMAGE(LABELIMG));
}
//TODO:
//TODO: Use libnoise http://libnoise.sourceforge.net/tutorials/index.html !!!
//TODO:
void generate()
{
//set crop height and width
if (crop_height < 1)
crop_height = tmap_size;
if (crop_width < 1)
crop_width = tmap_size;
//if a crop value is set
//set tmap_size to fit the cropped values
int max_size = std::max(crop_height, crop_width);
int max_size_tmp = max_size - 1;
if ((max_size_tmp & (max_size_tmp - 1)) == 0)
{
//leave set size as highest crop value
tmap_size = max_size;
}
else
{
//find smallest value such that (value is power of 2) + 1 and value > max_size
int t = ceil(log2(max_size)) + 1;
tmap_size = (1 << t) + 1;
}
double finish = 0;
//display info
if (verbose)
{
std::cout << "Using " << config_file << std::endl;
std::cout << "Staring square diamond" << std::endl;
std::cout << "Size: " << crop_width << " x " << crop_height
<< " original size " << tmap_size << std::endl;
std::cout << "Starting seed value " << seed << std::endl;
std::cout << "Starting random offset " << random_offset << std::endl;
std::cout << "Random offset decrease ratio " << offset_dr << std::endl;
}
//init map array
tmap = new int*[tmap_size];
for (int i = 0; i < tmap_size; ++i)
{
tmap[i] = new int[tmap_size];
for (int j = 0; j < tmap_size; j++)
tmap[i][j] = 0;
}
// initialize random seed:
// use for generating a random map every time
// srand ( time(NULL) );
//harcoded for now as produces a nice map for testing
srand(12);
//fill the array with values
square_diamond();
//interpolate voronoi diagram
//TODO: add noise to voronoi
if (verbose)
{
std::cout << "Voronoi points " << voronoi_size << std::endl;
/*
for (int i = 0; i < voronoi_size; ++i) {
std::cout << "\t" << voronoi_points[i][0] << "," << voronoi_points[i][1] << std::endl;
}
*/
}
voronoi();
erosion();
if (!neg)
clear_neg();
// finish = clock() - start;
if (verbose)
std::cout << "Finished square diamond " << (finish / 1000000)
<< std::endl;
double sqadia = (finish / 1000000);
if (normalise)
{
if (verbose)
std::cout << "Normalising with value range " << normalise_min << "-"
<< normalise_max << std::endl;
normalise_map();
}
if (output_format == STANDRARD_HEIGHTS)
{
print_map(fopen(output_file.c_str(), "w"));
}
else if (output_format == STANDARD_XML)
{
print_map_xml(fopen(output_file.c_str(), "w"));
}
if (scale > 0 && crop_height > 256 && crop_width > 256)
{
// start = clock();
if (verbose)
std::cout << "Generating rivers" << std::endl;
rivers();
// finish = clock() - start;
if (verbose)
std::cout << "Done " << (finish / 1000000) << std::endl;
double rivers_time = (finish / 1000000);
print_rivers(0);
// start = clock();
if (verbose)
std::cout << "Generating vegetation" << std::endl;
vegetation(verbose);
// finish = clock() - start;
if (verbose)
std::cout << "Done " << (finish / 1000000) << std::endl;
double veg_time = (finish / 1000000);
print_vegetation(0);
if (verbose)
std::cout << "Generating settlements" << std::endl;
settlements();
// finish = clock() - start;
if (verbose)
std::cout << "Done " << (finish / 1000000) << std::endl;
double settlement_time = (finish / 1000000);
print_settlements(0);
std::cout << crop_height << "\t"
<< (sqadia + rivers_time + veg_time + settlement_time) << "\t"
<< sqadia << "\t " << rivers_time << "\t" << veg_time << "\t"
<< settlement_time << std::endl;
}
std::cout << "Drawing contours" << std::endl;
contour_map(32, 32, verbose);
print_contour(0);
print_kf(0);
}
main ()
{
int i,j,k;
for (i=0; i < PICTURE_VERTICAL_SIZE; i++) {
for (j=PICTURE_HORIZONTAL_OFFSET; j < PICTURE_HORIZONTAL_SIZE+PICTURE_HORIZONTAL_OFFSET; j++) {
image_original[i][j-PICTURE_HORIZONTAL_OFFSET] = Y_test[i][j];
}
}
for (i=0; i < PICTURE_VERTICAL_SIZE; i++) {
for (j=PICTURE_HORIZONTAL_OFFSET; j < PICTURE_HORIZONTAL_SIZE+PICTURE_HORIZONTAL_OFFSET; j++) {
image_test[i][j-PICTURE_HORIZONTAL_OFFSET] = Y_test[i][j];
}
}
for (i=0; i < PICTURE_VERTICAL_SIZE; i++) {
for (j=PICTURE_HORIZONTAL_OFFSET; j < PICTURE_HORIZONTAL_SIZE+PICTURE_HORIZONTAL_OFFSET; j++) {
image_back[i][j-PICTURE_HORIZONTAL_OFFSET] = Y_back[i][j];
}
}
printf("Starting Motion Detection Application: \n\n");
printf("__attribute__((section(\".heapl2ram\"))) pixel Y_back[%d][%d] = \n{\n",PICTURE_VERTICAL_SIZE,PICTURE_HORIZONTAL_SIZE);
print_image_vect((pixel*)image_back);
printf("};\n");
printf("__attribute__((section(\".heapl2ram\"))) pixel Y_test[%d][%d] = \n{\n",PICTURE_VERTICAL_SIZE,PICTURE_HORIZONTAL_SIZE);
print_image_vect((pixel*)image_test);
printf("};\n");
printf("Subtraction and binarization treshold \n\n");
sub_image((pixel*)image_test, (pixel*)image_back);
print_image((pixel*)image_test);
max_pixel= max_image((pixel*)image_test);
printf("Max pixel = %d \n\n",max_pixel);
printf("Binarization \n\n");
binarisation((pixel*)image_test, (int)max_pixel*3/10,1,0);
print_image((pixel*)image_test);
printf("Erosion \n\n");
erosion((pixel*)image_test,KERNEL_SIZE,(pixel*)image_back);
print_image((pixel*)image_back);
printf("Dilatation \n\n");
dilatation((pixel*)image_back,KERNEL_SIZE ,(pixel*)image_test_out);
print_image((pixel*)image_test_out);
printf("Sobel Horizontal \n\n");
convolution_rect((pixel*)image_test_out, KERNEL_SIZE, sobel1,(pixel*)image_test);
val_abs((pixel*)image_test);
print_image((pixel*)image_test);
printf("Sobel Vertical \n\n");
convolution_rect( (pixel*)image_test_out, KERNEL_SIZE, sobel2,(pixel*)image_back);
val_abs((pixel*)image_back);
print_image((pixel*)image_back);
printf("Final Sum \n\n");
sum_image((pixel*)image_test, (pixel*)image_back);
binarisation((pixel*)image_test, 1,0,1);
print_image((pixel*)image_test);
printf("Final Multiplication \n\n");
multiply((pixel*)image_test, (pixel*)image_original);
printf("__attribute__((section(\".heapl2ram\"))) pixel Y_golden[%d][%d] = \n{\n",PICTURE_VERTICAL_SIZE,PICTURE_HORIZONTAL_SIZE);
print_image_vect((pixel*)image_test);
printf("};\n\n");
printf("Motion Detection Application Completed\n");
}
closing(unsigned char **image_pixel,int height,int width)
{
dilation(image_pixel,height,width);
erosion(image_pixel,height,width);
}
int main(int argc, char* argv[]) {
// check if the argument number is valid
if (argc < 4) {
std::cerr << "Usage: "
<< argv[0]
<< " input-file output-file [operations] [parameters]"
<< std::endl;
return 1;
}
// check if the input file is valid
std::ifstream input(argv[1]);
if (!input) {
std::cerr << "Can not open the grades in file " << argv[1] << std::endl;
return 1;
}
// read in the image
std::vector<std::string> image;
read_in_image(input, image);
if (image.size() == 0) {
std::cout << "Cannot import the image "
<< argv[1]
<< ". Try again please. "
<< std::endl;
return 1;
}
std::ofstream output(argv[2]); // the output file
std::string op = argv[3]; // the operation name
if (op.compare("replace") == 0 && argc == 6) { // replace
char before = argv[4][0];
char after = argv[5][0];
replace(image, before, after);
} else if (op.compare("dilation") == 0 &&
(argc == 5 || argc == 6)) { // dilation operation
char color = argv[4][0];
if (argc == 5) {
// When plus-signed structing element
dilation(image, color, false);
} else if (argc == 6 && std::string(argv[5]).compare("square") == 0) {
// when square-signed structing element
dilation(image, color, true);
} else {
std::cerr << "Usage: "
<< argv[0]
<< " input-file output-file dilation color [square]"
<< std::endl;
return 1;
}
} else if (op.compare("erosion") == 0 &&
(argc == 6 || argc == 7)) { // erosion operation
char color = argv[4][0];
char pixel = argv[5][0];
if (argc == 6) {
// When plus-signed structing element
erosion(image, color, pixel, false);
} else if (argc == 7 && std::string(argv[6]).compare("square") == 0) {
// when square-signed structing element
erosion(image, color, pixel, true);
} else {
std::cerr << "Usage: " << argv[0]
<< " input-file output-file erosion pixel [square]"
<< std::endl;
return 1;
}
} else if (op.compare("floodfill") == 0 && argc == 7) {
// floodfill operation
int row = atoi(argv[4]);
int col = atoi(argv[5]);
if (!isValid(image, row, col)) {
std::cerr << "Error: invalid arguments "
<< row << " and " << col
<< std::endl;
return 1;
}
char filler = argv[6][0];
flood_fill(image, row, col, filler);
} else { // invalid input command
std::cerr << "Invalid command." << std::endl;
std::cerr << "Usage: " << argv[0]
<< " input-file output-file [operations] [parameters]"
<< std::endl;
return 1;
}
// write the modified image to a file
if (output.is_open()) {
output_image(image, output);
output.close();
} else {
std::cerr << "Cannot output to " << argv[3] << std::endl;
return 1;
}
return 0;
}
main( int argc, char **argv )
{
int silent_mode, // Option for silent mode (no time output to stdout)
optDetachLim, // Option for detachment-limited erosion only
optMeander, // Option for stream meandering
optFloodplainDep, // Option for floodplain (overbank) deposition
optLoessDep, // Option for eolian deposition
optDiffuseDepo; // Option for deposition / no deposition by diff'n
tStreamMeander *meander; // -> meander object
tFloodplain *floodplain; // -> floodplain object
tEolian *loess; // -> eolian deposition object
ofstream oefile;
/****************** INITIALIZATION *************************************\
** ALGORITHM
** Get command-line arguments (name of input file + any other opts)
** Set silent_mode flag
** Open main input file
** Create and initialize objects for...
** Mesh
** Output files
** Storm
** Stream network
** Erosion
** Uplift (or baselevel change)
** Run timer
** Write output for initial state
** Get options for erosion type, meandering, etc.
\**********************************************************************/
// Check command-line arguments
if( argc<2 )
{
cerr << "Usage: " << argv[0] << " <input file>" << endl;
ReportFatalError( "You need to give the name of an input file." );
}
// Check whether we're in silent mode
silent_mode = ( argc>2 && argv[2][1]=='s' );
// Say hello
cout << "\nThis is CHILD, version " << VERSION << endl <<
"Geoarchaeology special version 1.0" << endl << endl;
// Open main input file
tInputFile inputFile( argv[1] );
// Create and initialize objects:
cout << "Creating mesh...\n";
tMesh<tLNode> mesh( inputFile );
cout << "Creating output files...\n";
tLOutput<tLNode> output( &mesh, inputFile );
tStorm storm( inputFile );
cout << "Creating stream network...\n";
tStreamNet strmNet( mesh, storm, inputFile );
tErosion erosion( &mesh, inputFile );
tUplift uplift( inputFile );
cout << "Writing data for time zero...\n";
tRunTimer time( inputFile, !silent_mode );
output.WriteOutput( 0 );
cout << "Initialization done.\n";
// Get various options
optDetachLim = inputFile.ReadItem( optDetachLim, "OPTDETACHLIM" );
optMeander = inputFile.ReadItem( optMeander, "OPTMNDR" );
optDiffuseDepo = inputFile.ReadItem( optDiffuseDepo, "OPTDIFFDEP" );
optFloodplainDep = inputFile.ReadItem( optFloodplainDep, "OPTFLOODPLAIN" );
optLoessDep = inputFile.ReadItem( optLoessDep, "OPTLOESSDEP" );
// If applicable, create stream meander object
if( optMeander )
meander = new tStreamMeander( strmNet, mesh, inputFile );
// If applicable, create floodplain object
if( optFloodplainDep )
floodplain = new tFloodplain( inputFile, &mesh );
// If applicable, create eolian deposition object
if( optLoessDep )
loess = new tEolian( inputFile );
// For Geoarchaeology special application
double kr = inputFile.ReadItem( kr, "KR" );
double drop = inputFile.ReadItem( drop, "GA_VALDROP" );
double inletElev = inputFile.ReadItem( inletElev, "GA_INLETELEV" );
double meanInletElev = inletElev;
double period = inputFile.ReadItem( period, "GA_PERIOD" );
int optwave = inputFile.ReadItem( optwave, "GA_OPTWAVE" );
double amplitude = inputFile.ReadItem( amplitude, "GA_AMPLITUDE" );
double tpeak, mr, mf, ttime, oldar1, noise0, noise1;
int numpts; //number of points in the floodplain curve
int fpindex=0;//where are you in the floodplain data
double fpslope;//slope of floodplain curve
double chanslp;//slope of channel, read in if optwave==2
vector<double> fpht;
vector<double> fptime;
if( optwave==0 ) period = 2.0 * PI / period;
else if( optwave==1 )
{
tpeak = inputFile.ReadItem( tpeak, "GA_TPEAK" );
if( tpeak<=0.0 || tpeak>=1.0 )
ReportFatalError("GA_TPEAK must be between 0 and 1 (not inclusive");
tpeak = tpeak*period;
mr = amplitude/tpeak;
mf = amplitude/(period-tpeak);
oldar1=0;
noise0=0;
noise1=0;
oefile.open("Geoarch/outletelev");
}
else if( optwave==2){
numpts=inputFile.ReadItem( numpts, "NUMFLDPLNPTS" );
fpht.assign( numpts,0 );
fptime.assign( numpts,0 );
int i=0;
char add='1';
char add2='0';
char name[30];
double help;
double inittime;
chanslp=inputFile.ReadItem(chanslp, "CHANSLOPE" );
cout<<"channel slope is "<<chanslp<<endl;
inittime=inputFile.ReadItem(inittime, "INPUTTIME" );
while (i<numpts){
if(i<9){
strcpy(name, "FLDPLNTIME" );
strcat(name, &add );
help=inputFile.ReadItem(help,name);
fptime[i]=help+inittime;
cout<<"index "<<i<<" fldplntime "<<fptime[i];
strcpy(name, "FLDPLNHT" );
strcat(name, &add );
help=inputFile.ReadItem(help,name);
fpht[i]=help;
cout<<" fldplnht "<<fpht[i]<<endl;
i++;
add++;
}
if(i>=9){
add='1';
strcpy(name, "FLDPLNTIME" );
strcat(name, &add );
strcat(name, &add2 );
help=inputFile.ReadItem(help,name);
fptime[i]=help;
cout<<"index "<<i<<" fldplntime "<<fptime[i];
strcpy(name, "FLDPLNHT" );
strcat(name, &add );
strcat(name, &add2 );
help=inputFile.ReadItem(help,name);
fpht[i]=help;
cout<<" fldplnht "<<fpht[i]<<endl;
i++;
add2++;
}
}
fpslope=(fpht[fpindex+1]-fpht[fpindex])/(fptime[fpindex+1]-fptime[fpindex]);
oefile.open("Terraces/outletelev");
}
int numg = inputFile.ReadItem( numg, "NUMGRNSIZE" );
//if( numg<2 ) ReportFatalError("Must use at least 2 sizes with GA." );
vector<double> deparr; deparr.assign( numg,0 );
int i;
for( i=0; i<numg; i++ ) deparr[i] = 0.0;
assert( strmNet.getInletNodePtr() != 0 );
/**************** MAIN LOOP ******************************************\
** ALGORITHM
** Generate storm
** Do storm...
** Update network (flow directions, drainage area, runoff)
** Water erosion/deposition (vertical)
** Meandering (if applicable)
** Floodplain deposition (if applicable)
** Do interstorm...
** Hillslope transport
** Eolian (loess) deposition (if applicable)
** Uplift (or baselevel change)
**********************************************************************/
while( !time.IsFinished() )
{
time.ReportTimeStatus();
// Do storm...
storm.GenerateStorm( time.getCurrentTime(),
strmNet.getInfilt(), strmNet.getSoilStore() );
//cout << storm.getRainrate() << " " << storm.getStormDuration() << " "
// << storm.interstormDur() << endl;
//cin >> dbg;
strmNet.UpdateNet( time.getCurrentTime(), storm );
// Addition for Geoarchaeology model: set erodibility of main
// stream to zero and set its profile elevations as a boundary
// condition
tMeshListIter<tLNode> nodeIter( mesh.getNodeList() );
tLNode *cn;
double elev, totlen;
// Start by resetting erodibility for all nodes; will be overridden
// to zero for main channel nodes
for( cn=nodeIter.FirstP(); nodeIter.IsActive(); cn=nodeIter.NextP() )
cn->setLayerErody( 0, kr );
// Set the new drop elevation
if( optwave==0 ) {
inletElev = drop + amplitude * sin( period*time.getCurrentTime() );
//cout << "Inlet " << inletElev << " at " << time.getCurrentTime() << endl;
}
else if( optwave==1 )
{
noise1=(0.99*noise0+drand48()-0.5)*0.9;
ttime = fmod( time.getCurrentTime(), period );
if( ttime<=tpeak )
inletElev = drop + mr*ttime + noise1;
else
inletElev = drop + amplitude - mf*(ttime-tpeak) + noise1;
noise0=noise1;
oefile<<noise1<<endl;
}
else if( optwave==2 )
{
if(time.getCurrentTime()>=fptime[fpindex] && time.getCurrentTime()<fptime[fpindex+1]){
//slope and index don't need to be changed, just calculate elev
inletElev = fpht[fpindex] + fpslope*(time.getCurrentTime()-fptime[fpindex]);
}
else{
//calculate new slope and update index
fpindex++;
fpslope=(fpht[fpindex+1]-fpht[fpindex])/(fptime[fpindex+1]-fptime[fpindex]);
inletElev = fpht[fpindex] + fpslope*(time.getCurrentTime()-fptime[fpindex]);
}
cout<<"fhpt = "<<fpht[fpindex]<<" fpslope "<<fpslope<<" current time "<<time.getCurrentTime()<<" fptime "<<fptime[fpindex]<<endl;
oefile<<inletElev<<endl;
}
// Find the total length of the main channel and compute slope
if( optwave<2){
cn = strmNet.getInletNodePtr();
totlen = 0.0;
do
{
cn->setLayerErody( 0, 0.0 ); // Main channel elev is a B.C., thus unerodible
totlen += cn->getFlowEdg()->getLength();
cn = cn->getDownstrmNbr();
}
while( cn->getBoundaryFlag()==kNonBoundary );
chanslp = drop/totlen;
}
// Now set elevations along main channel
elev = inletElev; // starting at elevation at inlet
cn = strmNet.getInletNodePtr(); // begin at inlet
cn->setZ( inletElev ); // set inlet's elev
do // work downstream along main channel, setting elevations
{
double delz;
elev = elev - chanslp * cn->getFlowEdg()->getLength();
cn = cn->getDownstrmNbr();
delz = elev - cn->getZ();
while( delz < -0.1 ) { // Test: erode one active layer thick at a tm
deparr[0] = -0.1;
cn->EroDep( 0, deparr, time.getCurrentTime() );
delz += 0.1;
}
deparr[0] = delz;
cn->EroDep( 0, deparr, time.getCurrentTime() );
}
while( cn->getBoundaryFlag()==kNonBoundary );
//cout << "eroding...\n";
if( optDetachLim )
erosion.ErodeDetachLim( storm.getStormDuration() );
else
erosion.DetachErode( storm.getStormDuration(), &strmNet,
time.getCurrentTime() );
//cout << "meandering...\n";
if( optMeander )
meander->Migrate( time.getCurrentTime() );
//cout << "overbanking...\n";
if( optFloodplainDep )
floodplain->DepositOverbank( storm.getRainrate(),
storm.getStormDuration(),
time.getCurrentTime() );
// Do interstorm...
//cout << "Doing diffusion\n";
erosion.Diffuse( storm.getStormDuration() + storm.interstormDur(),
optDiffuseDepo );
//cout << "exposure time...\n";
erosion.UpdateExposureTime( storm.getStormDuration() +
storm.interstormDur() );
if( optLoessDep )
loess->DepositLoess( &mesh,
storm.getStormDuration()+storm.interstormDur(),
time.getCurrentTime() );
//cout << "Uplift\n";
if( time.getCurrentTime() < uplift.getDuration() )
uplift.DoUplift( &mesh,
storm.getStormDuration() + storm.interstormDur() );
time.Advance( storm.getStormDuration() + storm.interstormDur() );
//cout << "Output\n";
if( time.CheckOutputTime() )
output.WriteOutput( time.getCurrentTime() );
}
}
int main(int argc, char* argv[]) {
//error messagea
if (argc != 5 and argc != 6 and argc != 7) {
std::cerr << "arguments can not be fit in" << argv[0] ;
return 1;
}
std::string row;
std::ifstream myFile(argv[1]);
if (!myFile.good()) {
std::cerr << "The file is not correct!" << argv[1] << "\n";
}
//std::string row; //input each row to a string
std::vector<std::string> inputs; //Input vectors to hold all the points
while (std::getline(myFile, row)) {
inputs.push_back(row);
}
std::cout << "The input:"<<std::endl; //print out the input
for (unsigned int i = 0 ; i < inputs.size() ; ++i ) {
std::cout << inputs[i] << std::endl;
}
///////////starts to do the replace, dialation, erosion and floodfill
std::vector<std::string> results; // create a vector called results for later print out
// dilation
if (argc == 5) {
results = dilation(inputs, argv[4][0]);
for (unsigned int i = 0 ; i < results.size() ; ++i ) {
std::cout << results[i] << std::endl;
}
}
//replace+erosion
if (argc == 6) {
std::string a = "replace";
std::string b = "erosion";
if (!a.compare(argv[3])) {
results = replace(inputs, argv[4][0], argv[5][0]);
}
if (!b.compare(argv[3])) {
results = erosion(inputs, argv[4][0], argv[5][0]);
}
}
//floodfill
if (argc ==7) {
//convert the string in arguments to integers
int r = atoi(argv[4]);
int c = atoi(argv[5]);
char temp = argv[6][0];
floodfill(inputs, r, c, temp);
results = inputs;
}
std::cout << "The output:"<<std::endl;
//print out the output
for (unsigned int i = 0 ; i < results.size() ; ++i ) {
std::cout << results[i] << std::endl;
}
//output to a file
std::ofstream outputs;
outputs.open(argv[2]);
for (unsigned int i = 0 ; i < results.size() ; ++i) {
outputs << results[i] <<"\n" ;
}
outputs.close();
return 0;
}
void EndogenousSalienceThread::run(){
/*
* Identify the modal hue and saturation values in the logpolar image,
* segment the cartesian image accordingly,
* identify the largest blob, extract the coordinates of the centroid,
* package everything with the encoder values & the focal length values in a bottle,
* and send it out (typically to the egosphere module)
* send out the segmented image out for viewing
*/
unsigned char pixel_value;
if (debug) {
printf("endogenousSalienceThread: parameters are %d %d %d %d\n\n",
*hueTolerance, *saturationTolerance, *hueBins, *saturationBins);
}
/* create the histogram */
if (hsHistogram == NULL) {
hsHistogram = new DVhs_histogram(*hueBins, *saturationBins);
}
while (isStopping() != true) { // the thread continues to run until isStopping() returns true
/*
* Step 1: grab cartesian and logpolar images and copy images to local format
* ==========================================================================
*/
if (debug) cout << "endogenousSalienceThread: grabbing images " << endl;
do {
cartesianImage = cartesianImagePortIn->read(true);
} while ((cartesianImage == NULL) && (isStopping() != true));
if (isStopping()) break; // abort this loop to avoid make sure we don't continue and possibly use NULL images
do {
logpolarImage = logpolarImagePortIn->read(true);
} while ((logpolarImage == NULL)&& (isStopping() != true));
if (isStopping()) break; // abort this loop to avoid make sure we don't continue and possibly use NULL images
width = cartesianImage->width();
height = cartesianImage->height();
depth = 3;
if (debug) printf("endogenousSalienceThread: width = %d, height = %d, depth = %d\n",width, height, depth);
if (cartesianInput == NULL) {
cartesianInput = new DVimage(width, height, depth);
}
if (segmentedOutput == NULL) {
segmentedOutput = new DVimage(width, height, depth);
}
if (tempImageA == NULL) {
tempImageA = new DVimage(width, height, depth);
}
if (tempImageB == NULL) {
tempImageB = new DVimage(width, height, depth);
}
width = logpolarImage->width();
height = logpolarImage->height();
depth = 3;
if (debug) printf("endogenousSalienceThread: width = %d, height = %d, depth = %d\n",width, height, depth);
if (logpolarInput == NULL) {
logpolarInput = new DVimage(width, height, depth);
}
width = cartesianImage->width();
height = cartesianImage->height();
for (x=0; x<width; x++) {
for (y=0; y<height; y++) {
rgbPixel = cartesianImage->safePixel(x,y);
cartesianInput->put_pixel(x, y, rgbPixel.r, 0);
cartesianInput->put_pixel(x, y, rgbPixel.g, 1);
cartesianInput->put_pixel(x, y, rgbPixel.b, 2);
}
}
width = logpolarImage->width();
height = logpolarImage->height();
for (x=0; x<width; x++) {
for (y=0; y<height/2; y++) { // ***************************** only use the top half, i.e. the fovea
rgbPixel = logpolarImage->safePixel(x,y);
logpolarInput->put_pixel(x, y, rgbPixel.r, 0);
logpolarInput->put_pixel(x, y, rgbPixel.g, 1);
logpolarInput->put_pixel(x, y, rgbPixel.b, 2);
}
}
/*
* Step 2: Identify the modal hue and saturation values in the logpolar image
* ==========================================================================
*
*/
if (debug) cout << "endogenousSalienceThread: generating histogram " << endl;
colour_histogram(logpolarInput, hsHistogram);
if (true && debug) cout << "endogenousSalienceThread: identifying histogram mode " << endl;
hsHistogram->hsMode(&hueMode, &saturationMode);
/*
* Step 3: segment the cartesian image
* =====================================
*/
if (debug) cout << "endogenousSalienceThread: performing segmentation " << endl;
hueRange = (*hueTolerance * (float) 360) / (float) (100); // convert percentage to real values
saturationRange = (*saturationTolerance) / (float) (100);
colour_segmentation(cartesianInput, hueMode, saturationMode, hueRange, saturationRange, segmentedOutput);
// Step 4: filter the colour_segmentation by performing an morphological opening
// =============================================================================
if (debug) cout << "endogenousSalienceThread: post-segmentation filtering - morphological opening " << endl;
if (*filterRadius > 0) {
erosion (segmentedOutput, *filterRadius, tempImageA);
dilation(tempImageA, *filterRadius, tempImageB);
}
// Step 5: filter the colour segmentation by performing a medial distance transform
// =============================================================================
if (debug) cout << "endogenousSalienceThread: post-segmentation filtering - medial distance transform" << endl;
distance_from_background_transform(tempImageB, segmentedOutput);
segmentedOutput->contrast_stretch();
/*
* Step 6: copy the segmented image to the salience image in YARP format and write it out
* ======================================================================================
*/
if (debug) cout << "endogenousSalienceThread: sending images " << endl;
width = cartesianImage->width();
height = cartesianImage->height();
ImageOf<PixelRgb> &salienceImage = salienceImagePortOut->prepare();
salienceImage.resize(width,height);
for (x=0; x < width; x++) {
for (y=0; y < height; y++) {
segmentedOutput->get_pixel(x, y, &pixel_value, 0); rgbPixel.r=pixel_value;
segmentedOutput->get_pixel(x, y, &pixel_value, 1); rgbPixel.g=pixel_value;
segmentedOutput->get_pixel(x, y, &pixel_value, 2); rgbPixel.b=pixel_value;
salienceImage(x,y) = rgbPixel;
}
}
if (isStopping()) break; // abort this loop to avoid make sure we don't continue and possibly use NULL images
salienceImagePortOut->write();
}
}
void test_run() {
laplacian_filter(x, y, Nq);
dilation(x, z, Nq);
erosion(z, w, Nq);
}
int main (int argc, char** argv)
{
double f;
double vd;
double r;
int iter;
double h;
// argiment parsing
if (pcl::console::parse_argument (argc, argv, "-r", r) >= 0)
{
MIN_DISTANCE = r;
cout << "adjust the registration threshold to " << r << endl;
}
if (pcl::console::parse_argument (argc, argv, "-giter", iter) >= 0)
{
GITER = iter;
cout << "adjust global alignment iterations to " << iter <<" iterations"<< endl;
}
if (pcl::console::parse_argument (argc, argv, "-hessian", h) >= 0)
{
HESSIAN=h;
cout << "adjust SIFT matching threshold to " << h << endl;
}
if (pcl::console::find_argument (argc, argv, "-h") >= 0 || argc == 1)
{
printUsage (argv[0]);
return 0;
}
if (pcl::console::find_argument (argc, argv, "-g") >= 0)
{
GLOBAL_FLAG = 1;
cout << "Global Reistration is ON" << endl;
}
if (pcl::console::find_argument (argc, argv, "-lcoff") >= 0)
{
LOOP_CLOSURE = 0;
cout << "Loop CLosure Detection is OFF" << endl;
}
if (pcl::console::find_argument (argc, argv, "-m") >= 0)
{
MLS = 1;
cout << "Moving least square smoothing is ON" << endl;
}
if (pcl::console::find_argument (argc, argv, "-dn") >= 0)
{
DENOISING= 1;
cout << "De-noising (statistic) is ON" << endl;
}
if (pcl::console::parse_argument (argc, argv, "-vd", vd) >= 0)
{
DEPTH_AVG = 1;
cout << "Down-sampling is ON" << endl;
if (vd>0.00001)
{
DOWN_SAMPLE = vd;
cout<<"Down sample threshold is changed to "<<DOWN_SAMPLE<<endl;
}
}
vector<PointCloud, Eigen::aligned_allocator<PointCloud> > data;
vector<PointCloud, Eigen::aligned_allocator<PointCloud> > key3data;
vector<vector<KeyPoint> > key2data;
vector<pcl::CorrespondencesPtr> correspondencesdata;
Mat previousrgb;
vector<KeyPoint> previouskey2d;
// read the rgb-d data one by one
ifstream index;
string root_dir = argv[1];
index.open (string(root_dir + "/input.txt").c_str());
int i = 0;
while (!index.eof ())
{
string file;
index >> file;
if (file.empty ())
break;
file = root_dir + "/" + file;
Mat rgbimg;
Mat depimg;
Mat mask;
// read data
readImg (file, "_rgb.png", rgbimg);
readImg (file, "_depth.png", depimg);
readImg (file, "_mask.png", mask);
if (rgbimg.empty () || depimg.empty () || mask.empty ())
{
printf (
"Error: The RGB-D file does not exit. Please note that the right format should be: \n");
printf (
"X_rgb.png, X_depth.png, X_mask.png with the same size. ('X' is your input) \n");
return (0);
}
if (rgbimg.size () != depimg.size () || rgbimg.size () != mask.size ())
{
printf (
"Error: The RGB-D files are not consistent. The rgb, depth and mask images should have the same size. \n");
return (0);
}
cout << "loading: " << file << endl;
// check the image size and the offest coordinate
int x1, y1;
if (rgbimg.rows == 480 && rgbimg.cols == 640)
{
// if the image is full size (480*640), no offset coordinate
x1 = 0;
y1 = 0;
}
else
{
// if not, read the offset file
ifstream loc;
string location1 = file + "_loc.txt";
loc.open (location1.c_str ());
if (!loc.is_open ())
{
if (TOP_LEFT1!=0 && TOP_LEFT2!=0)
{
x1=TOP_LEFT2;
y1=TOP_LEFT1;
}
else
{
cout << "Error! There is no associated off-set location file." << endl;
return 0;
}
}
else
{
char comma;
loc >> x1 >> comma >> y1;
}
loc.close();
}
// perform erosion to remove the noises around the boundary
erosion (mask, 4);
vector<KeyPoint> key2d;
PointCloud pointcloud;
PointCloud keypoints;
// read data and perform surf feature matching
read (rgbimg, depimg, mask, pointcloud, keypoints, key2d, x1, y1, HESSIAN);
filter (pointcloud, 0.001, pointcloud);
data.push_back (pointcloud);
key3data.push_back (keypoints);
key2data.push_back (key2d);
// find the pairwise correspondecnes based on surf feature
if (i >= 1)
{
pcl::CorrespondencesPtr correspondences (new pcl::Correspondences ()); //may have bugs??
vector<DMatch> good_matches;
match (rgbimg, previousrgb, key2d, previouskey2d, good_matches,
correspondences);
correspondencesdata.push_back (correspondences);
correspondences.reset (new pcl::Correspondences);
}
previousrgb = rgbimg;
previouskey2d = key2d;
i++;
}
index.close();
printf ("Loaded %d datasets.\n", (int) data.size ());
PointCloudPtr final (new PointCloud);
vector<Eigen::Matrix4f, Eigen::aligned_allocator<Eigen::Matrix4f> > matrix_buffer;
// registration: initial+fine+global
//initialize the PCL viewer
p = new pcl::visualization::PCLVisualizer (argc, argv, "3D Moeling example");
p->setSize (480, 640);
p->setPosition (480, 200);
// registration
int first = 0;
int last = 0;
if (!LOOP_CLOSURE)
{
last=(int) data.size ()-1;
}
// need to change back
double threshold = MIN_DISTANCE;
for (int z = 0; z < GITER; z++)
{
vector<PointCloud, Eigen::aligned_allocator<PointCloud> > out;
PointCloudPtr output (new PointCloud);
PointCloudPtr final_temp (new PointCloud);
if (GLOBAL_FLAG)
{
vector<PointCloud, Eigen::aligned_allocator<PointCloud> > out_global;
if (z == 0)
pairwiseAlign (data, correspondencesdata, key3data, *output, out,
matrix_buffer, 1, threshold);
else
{
pairwiseAlign (data, correspondencesdata, key3data, *output, out,
matrix_buffer, 0, threshold);
}
// global optimization
cout << endl << "Global optimization begins ... at iteration " <<z+1<< endl;
globalAlign (out, final_temp, matrix_buffer, out_global, first, last);
data = out_global;
}
else
{
pairwiseAlign (data, correspondencesdata, key3data, *output, out,
matrix_buffer, 1, threshold);
final = output;
break;
}
threshold = threshold * 0.9;
final = final_temp;
void main( int argc, char *argv[])
{
int gdriver = DETECT, gmode, errorcode;
UL pos,m;
int x,y,couleur,i;
if (argc != 2)
{
printf("Finger Recognition Module Version 1.01\n");
printf("Usage is : FingRun <file.bmp>\n");
exit(1);
}
// recopie des paramŠtres
xwin = 3;
ywin = 3;
// initialise le mode graphique
initgraph(&gdriver, &gmode, "");
errorcode = graphresult();
if (errorcode != grOk) // erreur d‚tect‚e
{ Erreur = ErreurGraphique;
printf("Erreur Graphique Code Nø %d \n",Erreur);
exit(1);
}
if ((out = fopen("resu.dat", "wt"))== NULL)
{
fprintf(stderr, "Erreur … l'ouverture de Resu.dat\n");
exit(-1);
}
MaxX = getmaxx();
MaxY = getmaxy();
// Lecture du fichier image
f_lectureFichier (argv[1],&Image);
// Allocation de m‚moire pour les images
ImageOut = (int huge*) farcalloc(Image.ligne*Image.colonne,(UL)sizeof(int));
if (ImageOut == NULL)
{
printf("Not enough memory for Image buffer allocation\n");
exit(-4);
}
Image2 = (int huge*) farcalloc(Image.ligne*Image.colonne,(UL)sizeof(int));
if (Image2 == NULL)
{
printf("Not enough memory for Image buffer allocation\n");
exit(-4);
}
// Initialisation de ImageOut, Image2 … z‚ro
InitImage(ImageOut);
InitImage(Image2);
// Affiche ImageOut
ViewZoom(ImageInit);
// ImageOut=ImageInit
CopyImage(ImageOut,ImageInit);
// Erosion de ImageInit : r‚sultat = ImageOut
erosion(ImageInit,ImageOut);
free(ImageInit);
// Image2 = ImageOut
CopyImage(Image2,ImageOut);
// D‚termine contour de ImageOut : r‚sultat dans Image2
contour(ImageOut,Image2);
// Groupe pixel 45ø 135ø
CopyImage(ImageOut,Image2);
groupe(Image2,ImageOut);
CopyImage(Image2,ImageOut);
// Erosion du contour sur Image2
erosion2(4,Image2);
// Init de ImageOut
InitImage(ImageOut);
// D‚finir le orientations de l'empreinte : r‚sultat dans ImageOut
CopyImage(ImageOut,Image2);
New_directions2(Image2,ImageOut);
// Copie ImageOut dans Image2
CopyImage(Image2,ImageOut);
// Erosion de ImageOut : r‚sultat dans Image2
erosion3(ImageOut,Image2);
free(ImageOut);
free(Image2);
lin=Image.ligne;
col=Image.colonne;
// ZONE GLOBALE
nbpix=0;
v=0.0;
matrix_co4d(Image2,0, 0, lin, col, mat5);
for (x=yellow; x<=blue; x++)
{
for (y=yellow; y<=blue; y++)
{
if (nbpix) v= (float)mat5[y][x] / (float)nbpix;
fprintf(out,"%2.5f ",v);
}
}
// ZONE 1
nbpix=0;
v=0.0;
matrix_co4d(Image2, 0, 0, lin/2, col/2,mat);
for (x=yellow; x<=blue; x++)
{
for (y=yellow; y<=blue; y++)
{
if (nbpix) v = (float)mat[y][x] / (float)nbpix;
fprintf(out,"%2.5f ",v);
}
}
// ZONE 2
nbpix=0;
v=0.0;
matrix_co4d(Image2, 0, 1+col/2, lin/2 ,col, mat2);
for (x=yellow; x<=blue; x++)
{
for (y=yellow; y<=blue; y++)
{
if (nbpix) v= (float)mat2[y][x] / (float)nbpix;
fprintf(out,"%2.5f ",v);
}
}
// ZONE 3
nbpix=0;
v=0.0;
matrix_co4d(Image2,1+lin/2, 0, lin, col/2, mat3);
for (x=yellow; x<=blue; x++)
{
for (y=yellow; y<=blue; y++)
{
if (nbpix) v= (float)mat3[y][x] / (float)nbpix;
fprintf(out,"%2.5f ",v);
}
}
// ZONE 4
nbpix=0;
v=0.0;
matrix_co4d(Image2,1+lin/2, 1+col/2, lin, col, mat4);
for (x=yellow; x<=blue; x++)
{
for (y=yellow; y<=blue; y++)
{
if (nbpix) v= (float)mat4[y][x] / (float)nbpix;
fprintf(out,"%2.5f ",v);
}
}
message("Tapez une touche");
fprintf(out,"%s\n",argv[1]);
fclose(out);
closegraph();
system("neuro2 test.con");
system("show.exe");
system("del test.out");
}
