bool IPLCompassMask::processInputData(IPLImage* image , int, bool) { // delete previous result delete _result; _result = NULL; int width = image->width(); int height = image->height(); _result = new IPLImage( image->type(), width, height ); // get properties int maskType = getProcessPropertyInt("maskType"); int direction = getProcessPropertyInt("direction"); int progress = 0; int maxProgress = image->height() * image->getNumberOfPlanes(); int nrOfPlanes = image->getNumberOfPlanes(); int startDir = ( direction == 8 )? 0 : direction; int endDir = ( direction == 8 )? 7 : direction+1; #pragma omp parallel for for( int planeNr=0; planeNr < nrOfPlanes; planeNr++ ) { IPLImagePlane* plane = image->plane( planeNr ); IPLImagePlane* newplane = _result->plane( planeNr ); { for(int y=0; y<height; y++) { // progress notifyProgressEventHandler(100*progress++/maxProgress); for(int x=0; x<width; x++) { int dirCount = 0; long sum = 0; long total = 0; for( int dir = startDir; dir<endDir; dir++ ) { dirCount++; sum = 0; for( int kx=-1; kx<=1; kx++ ) { for( int ky=-1; ky<=1; ky++ ) { int mask = _mask[maskType][dir][ky+1][kx+1]; sum += (long) (plane->cp(x+kx, y+ky) * FACTOR_TO_UCHAR) * (long) mask; } } total += sum; } total /= dirCount; total += 128; total = (total>255)? 255 : (total<0)? 0 : total; newplane->p(x,y) = total * FACTOR_TO_FLOAT; } } } } return true; }
void IPLImage::fillColor(ipl_basetype value) { for( int planeNr = 0; planeNr < _nrOfPlanes; planeNr++ ) { IPLImagePlane* plane = _planes[planeNr]; for( int x=0; x<_width; x++ ) for( int y=0; y<_height; y++ ) plane->p(x,y) = value; } }
bool IPLMorphologyHitMiss::processInputData(IPLImage* image, int, bool) { // delete previous result delete _result; _result = NULL; int width = image->width(); int height = image->height(); // copy constructor doesnt work: // _result = new IPLImage(*image); _result = new IPLImage( IPL_IMAGE_BW, width, height); // get properties // _propertyMutex.lock(); _kernel = getProcessPropertyVectorInt("kernel"); // _propertyMutex.unlock(); IPLImagePlane* inputPlane = image->plane( 0 ); IPLImagePlane* resultPlane = _result->plane( 0 ); IPLImagePlane* workingPlane = new IPLImagePlane(width, height); // the algorithm needs a working plane for(int x=0; x<width; x++) { for(int y=0; y<height; y++) { workingPlane->p(x,y) = inputPlane->p(x,y); } } _progress = 0; _maxProgress = image->height() * image->getNumberOfPlanes(); hitmiss(workingPlane, resultPlane); return true; }
void applyMorphology(IPLImagePlane &src, IPLImagePlane &dst, int iterations, const std::vector<bool> &kernel, CB progressCallback) { int kernelOffset = (int)sqrt((float)kernel.size()) / 2; for (int i = 0; i < iterations; ++i) { #pragma omp parallel for default(shared) for (int y = 0; y < src.height(); ++y) { for (int x = 0; x < src.width(); ++x) { //TODO: Speed up this routine //There would be several possibilities such as usage of SIMD techniques //or the reduction of the source image (e.g. to unsigned char) bool cancel = false; auto &pixelValue = dst.p(x,y); int i = 0; for( int ky=-kernelOffset; !cancel && ky<=kernelOffset; ky++ ) { for( int kx=-kernelOffset; !cancel && kx<=kernelOffset; kx++ ) { if ( x+kx < 0 || x+kx >= src.width() || y+ky < 0 || y+ky >= src.height()) continue; auto &p = src.p(x+kx,y+ky); bool mask = kernel[i++]; bool pixel = p == (float)T; cancel = mask && pixel; } } pixelValue = cancel? T : F; } progressCallback(); } std::swap(src,dst); } std::swap(src,dst); }
bool IPLGabor::processInputData(IPLImage* image , int, bool) { // delete previous result delete _result0; _result0 = NULL; delete _result1; _result1 = NULL; delete _result2; _result2 = NULL; int width = image->width(); int height = image->height(); _result0 = new IPLImage( image->type(), width, height ); _result1 = new IPLImage( image->type(), width, height ); _result2 = new IPLImage( image->type(), width, height ); // get properties int window = getProcessPropertyInt("window"); int wavelength = getProcessPropertyInt("wavelength"); double direction = getProcessPropertyDouble("direction"); double deviation = getProcessPropertyDouble("deviation"); //int progress = 0; //int maxProgress = image->height() * image->getNumberOfPlanes(); int w2 = window/2; int area = window*window; double* qEven = new double [area]; double* qOdd = new double [area]; double k = 2.0 * PI / (double) wavelength; double k2 = k * k; double d2 = deviation * deviation; double sig2 = 1.0 / (2.0 * d2); double kx = k * cos( direction ); double ky = -k * sin( direction ); int index = 0; double E = 0.0; double O =0.0; for( int x = -w2; x <= w2; x++ ) { for( int y = -w2; y <= w2; y++) { double compensate = k2/d2; double envelope = exp( -k2 * sig2 * (x*x+y*y) ); double DC = exp( -d2/2.0); E += qEven[index] = compensate * envelope * ( cos( kx*x + ky*y ) - DC ); O += qOdd[index++] = compensate * envelope * ( sin( kx*x + ky*y )- DC ); } } for( int planeNr=0; planeNr < image->getNumberOfPlanes(); planeNr++ ) { IPLImagePlane* plane = image->plane( planeNr ); IPLImagePlane* evenplane = _result0->plane( planeNr ); IPLImagePlane* oddplane = _result1->plane( planeNr ); IPLImagePlane* powerplane = _result2->plane( planeNr ); for(int x=w2; x<width-w2; x++) { for(int y=w2; y<height-w2; y++) { double even = 0; double odd = 0; double power = 0; int i = 0; for( int kx=-w2; kx<=w2; kx++ ) { for( int ky=-w2; ky<=w2; ky++ ) { double img = (double) plane->p(x+kx, y+ky); even += img * qEven[i]; odd += img * qOdd[i++]; } } power = (even*even + odd*odd )*2; even = even + 0.5; odd = odd + 0.5; even = (even>1.0)? 1.0 : (even<0)? 0 : even; odd = (odd>1.0)? 1.0 : (odd<0)? 0 : odd; power = (power>1.0)? 1.0 : (power<0)? 0 : power; evenplane->p(x,y) = even; oddplane->p(x,y) = odd; powerplane->p(x,y) = power; } } } delete [] qEven; delete [] qOdd; return true; }
bool IPLBlendImages::processInputData(IPLImage* image , int imageIndex, bool) { // save the first image if(imageIndex == 0) { delete _inputA; _inputA = new IPLImage(*image); } // save the second image if(imageIndex == 1) { delete _inputB; _inputB = new IPLImage(*image); } // only continue if we have 2 valid inputs if(!(_inputA && _inputB)) { return false; } // delete previous result delete _result; _result = NULL; // the result will be the max size of both inputs int width = std::max(_inputA->width(), _inputB->width()); int height = std::max(_inputA->height(), _inputB->height()); // copy constructor doesnt work: // _result = new IPLImage(*image); // get properties _operation = getProcessPropertyInt("operation"); _factorA = getProcessPropertyDouble("factorA"); _factorB = getProcessPropertyDouble("factorB"); int maxNrOfPlanes = std::max( _inputA->getNumberOfPlanes(), _inputB->getNumberOfPlanes()); int progress = 0; int maxProgress = maxNrOfPlanes*height; IPLDataType type = IPL_IMAGE_COLOR; if(maxNrOfPlanes == 1) type = IPL_IMAGE_GRAYSCALE; // create result _result = new IPLImage(type, width, height); #pragma omp parallel for for( int planeNr=0; planeNr < maxNrOfPlanes; planeNr++ ) { // prevent reading unavailable planes IPLImagePlane* planeA = _inputA->plane(std::min(planeNr, _inputA->getNumberOfPlanes()-1)); IPLImagePlane* planeB = _inputB->plane(std::min(planeNr, _inputB->getNumberOfPlanes()-1)); IPLImagePlane* newplane = _result->plane(planeNr); for(int y=0; y<height; y++) { // progress notifyProgressEventHandler(100*progress++/maxProgress); for(int x=0; x<width; x++) { float valueA = _factorA * (float) planeA->cp(x,y); float valueB = _factorB * (float) planeB->cp(x,y); float value = 0.0f; switch (_operation) { case 1: value = ChannelBlend_Lighten(valueA, valueB); break; case 2: value = ChannelBlend_Darken(valueA, valueB); break; case 3: value = ChannelBlend_Multiply(valueA, valueB); break; case 4: value = ChannelBlend_Average(valueA, valueB); break; case 5: value = ChannelBlend_Add(valueA, valueB); break; case 6: value = ChannelBlend_Subtract(valueA, valueB); break; case 7: value = ChannelBlend_Difference(valueA, valueB); break; case 8: value = ChannelBlend_Negation(valueA, valueB); break; case 9: value = ChannelBlend_Screen(valueA, valueB); break; case 10: value = ChannelBlend_Exclusion(valueA, valueB); break; case 11: value = ChannelBlend_Overlay(valueA, valueB); break; case 12: value = ChannelBlend_SoftLight(valueA, valueB); break; case 13: value = ChannelBlend_HardLight(valueA, valueB); break; case 14: value = ChannelBlend_ColorDodge(valueA, valueB); break; case 15: value = ChannelBlend_ColorBurn(valueA, valueB); break; case 16: value = ChannelBlend_LinearDodge(valueA, valueB); break; case 17: value = ChannelBlend_LinearBurn(valueA, valueB); break; case 18: value = ChannelBlend_LinearLight(valueA, valueB); break; case 19: value = ChannelBlend_VividLight(valueA, valueB); break; case 20: value = ChannelBlend_PinLight(valueA, valueB); break; case 21: value = ChannelBlend_HardMix(valueA, valueB); break; case 22: value = ChannelBlend_Reflect(valueA, valueB); break; case 23: value = ChannelBlend_Glow(valueA, valueB); break; case 24: value = ChannelBlend_Phoenix(valueA, valueB); break; default: value = ChannelBlend_Normal(valueA, valueB); break; } // clamp to 0.0-1.0 value = min(1.0f, max(0.0f, value)); newplane->p(x,y) = value; } } } //_inputA = NULL; //_inputB = NULL; return true; }
bool IPLBinarizeSavola::processInputData(IPLImage* image , int, bool) { // delete previous result delete _result; _result = NULL; int width = image->width(); int height = image->height(); _result = new IPLImage(image->type(), width, height); // get properties int window = getProcessPropertyInt("window"); double aboveMean = getProcessPropertyDouble("aboveMean"); IPLImage* mean = new IPLImage(image->type(), width, height); IPLImage* deviation = new IPLImage(image->type(), width, height); int progress = 0; int maxProgress = image->height() * image->getNumberOfPlanes(); int nrOfPlanes = image->getNumberOfPlanes(); #pragma omp parallel for for( int planeNr=0; planeNr < nrOfPlanes; planeNr++ ) { IPLImagePlane* plane = image->plane( planeNr ); IPLImagePlane* newplane = _result->plane( planeNr ); int w2 = window/2; float area = (float)(w2*2)*(float)(w2*2); float minI = FLT_MAX; float maxDeviation = 0.0; for(int y=0; y<height; y++) { // progress notifyProgressEventHandler(100*progress++/maxProgress); for(int x=0; x<width; x++) { if( plane->p(x,y) < minI ) minI = plane->p(x,y); float localMean = 0.0; for( int kx=-w2; kx<=w2; kx++ ) { for( int ky=-w2; ky<=w2; ky++ ) { localMean += (float)plane->cp(x+kx,y+ky); } } localMean /= area; mean->plane(planeNr)->p(x,y) = localMean; float dev = 0.0; for( int kx=-w2; kx<=w2; kx++ ) { for( int ky=-w2; ky<=w2; ky++ ) { float diff = (float)plane->cp(x+kx, y+ky) - localMean; dev += diff * diff; } } dev = sqrt( dev / area ); deviation->plane(planeNr)->p(x,y) = dev; if( dev > maxDeviation ) maxDeviation = dev; } for(int x=w2; x<width-w2; x++) { for(int y=w2; y<height-w2; y++) { float alpha = 1.0 - deviation->plane(planeNr)->p(x,y) / maxDeviation; int T = (int) ( mean->plane(planeNr)->p(x,y) - aboveMean * alpha *( mean->plane(planeNr)->p(x,y) - minI ) ); newplane->p(x,y) = ( plane->p(x,y) >= T ) ? 0.0 : 1.0; } } } } return true; }
bool IPLFFT::processInputData(IPLImage* image , int, bool) { // delete previous result delete _result; _result = NULL; int width = image->width(); int height = image->height(); int cWidth = IPLComplexImage::nextPowerOf2(width); int cHeight = IPLComplexImage::nextPowerOf2(height); int size = cHeight = cWidth = (cWidth>cHeight)? cWidth : cHeight; _result = new IPLComplexImage(cWidth, cHeight); // get properties int mode = getProcessPropertyInt("mode"); int progress = 0; int maxProgress = image->height() * image->getNumberOfPlanes(); // image center int dx = ( cWidth - width )/2; int dy = ( cHeight - height )/2; IPLImagePlane* plane = image->plane(0); for(int y=0; y<height; y++) { // progress notifyProgressEventHandler(100*progress++/maxProgress); for(int x=0; x<width; x++) { _result->c(x+dx, y+dy) = Complex(plane->p(x,y), 0.0); } } // windowing function switch(mode) { case 0: // rectangular break; case 1: // Hanning for( int y=0; y<size; y++ ) for( int x=0; x<size; x++ ) _result->c(x,y) *= Hanning(x, size) * Hanning(y, size); break; case 2: // Hamming for( int y=0; y<size; y++ ) for( int x=0; x<size; x++ ) _result->c(x,y) *= Hamming(x, size) * Hamming(y, size); break; case 3: // Blackman for( int y=0; y<size; y++ ) for( int x=0; x<size; x++ ) _result->c(x,y) *= Blackman(x, size) * Blackman(y, size); break; case 4: // Border only int border = size / 32; for( int y=0; y<border; y++ ) for( int x=0; x<size; x++ ) { double factor = (0.54 - 0.46 * cos( 2.0 * PI * y / border / 2.0 )); _result->c(x,y) *= factor; _result->c(x,size-y-1) *= factor; } for( int x=0; x<border; x++ ) for( int y=0; y<size; y++ ) { double factor = (0.54 - 0.46 * cos( 2.0 * PI * x / border / 2.0 )); _result->c(x,y) *= factor; _result->c(size-x-1,y) *= factor; } break; } _result->FFT(); return true; }
bool IPLLocalThreshold::processInputData(IPLImage* image , int, bool) { // delete previous result delete _result; _result = NULL; int width = image->width(); int height = image->height(); if(image->type() == IPLImage::IMAGE_GRAYSCALE) _result = new IPLImage(IPLImage::IMAGE_BW, width, height); else _result = new IPLImage(image->type(), width, height); // get properties int window = getProcessPropertyInt("window"); float aboveMean = getProcessPropertyDouble("aboveMean"); int progress = 0; int maxProgress = image->height() * image->getNumberOfPlanes(); int nrOfPlanes = image->getNumberOfPlanes(); #pragma omp parallel for for( int planeNr=0; planeNr < nrOfPlanes; planeNr++ ) { IPLImagePlane* plane = image->plane( planeNr ); IPLImagePlane* newplane = _result->plane( planeNr ); int w2 = window/2; double area = (double)window*(double)window; for(int y=w2; y < height-w2; y++) { // progress notifyProgressEventHandler(100*progress++/maxProgress); for(int x=w2; x < width-w2; x++) { double localMean = 0.0; for( int kx=-w2; kx<=w2; kx++ ) { for( int ky=-w2; ky<=w2; ky++ ) { localMean += (double)plane->p(x+kx,y+ky); } } localMean /= area; double deviation = 0.0; for( int kx=-w2; kx<=w2; kx++ ) { for( int ky=-w2; ky<=w2; ky++ ) { double diff = (double)plane->p(x+kx, y+ky) - localMean; deviation += diff * diff; } } deviation = sqrt( deviation / area ); double T = (localMean + aboveMean*deviation); newplane->p(x,y) = (plane->p(x,y) >= T) ? 1.0 : 0.0; } } } return true; }
bool IPLMorphologicalEdge::processInputData(IPLImage* image , int, bool) { // delete previous result delete _result; _result = NULL; int width = image->width(); int height = image->height(); _result = new IPLImage( image->type(), width, height ); // get properties int window = getProcessPropertyInt("window"); int progress = 0; int maxProgress = image->height() * image->getNumberOfPlanes() * 2; int nrOfPlanes = image->getNumberOfPlanes(); int w2 = window/2; int area = window*window; #pragma omp parallel for for( int planeNr=0; planeNr < nrOfPlanes; planeNr++ ) { IPLImagePlane* plane = image->plane( planeNr ); IPLImagePlane* newplane = _result->plane( planeNr ); IPLImagePlane* average = new IPLImagePlane(width, height); for(int x=w2; x<width-w2; x++) { // progress notifyProgressEventHandler(100*progress++/maxProgress); for(int y=w2; y<height-w2; y++) { ipl_basetype sum = 0; for( int kx=-w2; kx<=w2; kx++ ) { for( int ky=-w2; ky<=w2; ky++ ) { if( kx || ky ) sum += plane->p(x+kx, y+ky); } } average->p(x,y) = sum; } } for(int x=w2; x<width-w2; x++) { // progress notifyProgressEventHandler(100*progress++/maxProgress); for(int y=w2; y<height-w2; y++) { float minc = (area-1); float maxc = 0; for( int kx=-w2; kx<=w2; kx++ ) { for( int ky=-w2; ky<=w2; ky++ ) { ipl_basetype img = average->bp(x+kx, y+ky); if( img > maxc) maxc = img; if( img < minc) minc = img; } } ipl_basetype img = average->p(x,y); ipl_basetype d1 = img - minc; ipl_basetype d2 = maxc - img; ipl_basetype min = (d1 < d2)? d1 : d2; min = (min<1.0)? min : 1.0; min = (min>0.0)? min : 0.0; newplane->p(x,y) = min; } } delete average; } return true; }
bool IPLBinarizeUnimodal::processInputData(IPLImage* image , int, bool) { // delete previous result delete _result; _result = NULL; int width = image->width(); int height = image->height(); if( image->type() == IPL_IMAGE_GRAYSCALE ) _result = new IPLImage( IPL_IMAGE_BW, width, height ); else _result = new IPLImage( image->type(), width, height ); int progress = 0; int maxProgress = image->height() * image->getNumberOfPlanes(); int nrOfPlanes = image->getNumberOfPlanes(); #pragma omp parallel for for( int planeNr=0; planeNr < nrOfPlanes; planeNr++ ) { IPLImagePlane* plane = image->plane( planeNr ); IPLImagePlane* newplane = _result->plane( planeNr ); int p[256] = { 0 }; for( int y = 0; y < height; ++y ) { for( int x = 0; x < width; ++x ) { int index = plane->p(x,y) * 255; p[index]++; } } // determine maxEntry int maxBin = 0; int maxFrequency = 0; for( int k=1; k<255; ++k ) { if( p[k] > maxFrequency ) { maxFrequency = p[k]; maxBin = k; } } // determine zeroEntry int zeroBin = 0; int x0, x1; if( maxBin >= 128 ) { zeroBin = 0; while( p[zeroBin]==0 ) ++zeroBin; x0 = zeroBin; x1 = maxBin; } else { zeroBin = 255; while( p[zeroBin]==0 ) --zeroBin; x0 = maxBin; x1 = zeroBin; } int y0 = p[x0]; int y1 = p[x1]; double a = y0 - y1; double b = x1 - x0; double c = x0*y1 - x1*y0; double d = sqrt( a*a + b*b ); int T = 0; if( d != 0.0 ) { double maxDist = 0.0; for( int k=x0; k<=x1; ++k ) { double distance = std::abs( ( a*k + b*p[k] + c ) / d ); if( distance > maxDist ) { maxDist = distance; T = k; } } } ipl_basetype threshold = T * FACTOR_TO_FLOAT; std::stringstream s; s << "Automatic Threshold: "; s << threshold; addInformation(s.str()); for(int y = 0; y < height; y++) { // progress notifyProgressEventHandler(100*progress++/maxProgress); for(int x = 0; x < width; x++) { newplane->p(x,y)= (plane->p(x,y) > threshold)? 1.0 : 0.0; } } } return true; }
bool IPLCanvasSize::processInputData(IPLImage* image , int, bool) { // delete previous result delete _result; _result = NULL; int width = image->width(); int height = image->height(); _result = new IPLImage(image->type(), width, height); // get properties int new_width = getProcessPropertyInt("width"); int new_height = getProcessPropertyInt("height"); IPLColor color = getProcessPropertyColor("color"); int anchor = getProcessPropertyInt("anchor"); _result = new IPLImage(image->type(), new_width, new_height); int progress = 0; int maxProgress = image->height() * image->getNumberOfPlanes(); int nrOfPlanes = _result->getNumberOfPlanes(); //Anchor:Top Left|Top|Top Right|Left|Center|Right|Bottom Left|Bottom|Bottom Right // Top Left int offset_x = 0; int offset_y = 0; if(anchor == 1) { // Top offset_x = (new_width-width) * 0.5; offset_y = 0; } else if(anchor == 2) { // Top Right offset_x = new_width-width; offset_y = 0; } else if(anchor == 3) { // Left offset_x = 0; offset_y = (new_height-height) * 0.5; } else if(anchor == 4) { // Center offset_x = (new_width-width) * 0.5; offset_y = (new_height-height) * 0.5; } else if(anchor == 5) { // Right offset_x = new_width-width; offset_y = (new_height-height) * 0.5; } else if(anchor == 6) { // Bottom Left offset_x = 0; offset_y = new_height-height; } else if(anchor == 7) { // Bottom offset_x = (new_width-width) * 0.5; offset_y = new_height-height; } else if(anchor == 8) { // Bottom Right offset_x = new_width-width; offset_y = new_height-height; } if(nrOfPlanes == 1) { addWarning("For grayscale images, the red slider is used as background value."); } #pragma omp parallel for for( int planeNr=0; planeNr < nrOfPlanes; planeNr++ ) { IPLImagePlane* plane = image->plane( planeNr ); IPLImagePlane* newplane = _result->plane( planeNr ); ipl_basetype background = 0.0; if(planeNr == 0) background = color.red(); else if(planeNr == 1) background = color.green(); if(planeNr == 2) background = color.blue(); for(int y=0; y<new_height; y++) { // progress notifyProgressEventHandler(100*progress++/maxProgress); for(int x=0; x<new_width; x++) { int from_x = x - offset_x; int from_y = y - offset_y; // check if inside source image if(from_x < 0 || from_y < 0 || from_x > plane->width() || from_y > plane->height()) { newplane->p(x, y) = background; } else { newplane->p(x, y) = plane->p(from_x, from_y); } } } } return true; }
bool IPLMedian::processInputData(IPLImage* image , int, bool useOpenCV) { // delete previous result delete _result; _result = NULL; int width = image->width(); int height = image->height(); // get properties int window = getProcessPropertyInt("window"); int progress = 0; int maxProgress = image->height() * image->getNumberOfPlanes(); int nrOfPlanes = image->getNumberOfPlanes(); int w2 = window/2; int area = window*window; if (!useOpenCV) { _result = new IPLImage( image->type(), width, height ); #pragma omp parallel for for( int planeNr=0; planeNr < nrOfPlanes; planeNr++ ) { IPLImagePlane* plane = image->plane( planeNr ); IPLImagePlane* newplane = _result->plane( planeNr ); ipl_basetype* list = new ipl_basetype[area]; for(int y=0; y<height; y++) { // progress notifyProgressEventHandler(100*progress++/maxProgress); for(int x=0; x<width; x++) { int i =0; for( int ky=-w2; ky<=w2; ky++ ) { for( int kx=-w2; kx<=w2; kx++ ) { list[i++] = plane->bp(x+kx, y+ky); } } // insert sort list for( int k=area; k>=0; k--) { int j = k+1; ipl_basetype temp = list[k]; while( j < area && temp > list[j] ) { list[j-1] = list[j]; j++; } list[j-1] = temp; } newplane->p(x,y) = list[area/2]; } } } } else { notifyProgressEventHandler(-1); auto src = image->toCvMat(); cv::Mat dst; cv::medianBlur(src,dst,window); _result = new IPLImage(dst); } return true; }
bool IPLSynthesize::processInputData(IPLImage*, int, bool) { if(isResultReady()) { //return true; } // delete previous result delete _result; _result = NULL; // get properties _type = getProcessPropertyInt("type"); _width = getProcessPropertyInt("width"); _height = getProcessPropertyInt("height"); _amplitude = getProcessPropertyDouble("amplitude"); _offset = getProcessPropertyDouble("offset"); _wavelength = getProcessPropertyInt("wavelength"); _direction = getProcessPropertyInt("plane_direction"); _decay = getProcessPropertyInt("decay"); IPLColor color = getProcessPropertyColor("flat_color"); if( _type == 0 ) _result = new IPLImage( IPL_IMAGE_COLOR, _width, _height ); else _result = new IPLImage( IPL_IMAGE_GRAYSCALE, _width, _height ); double dx = (double)_width / 2.0; double dy = (double)_height / 2.0; double direction = _direction / 180.0 * PI; // deg to rad IPLImagePlane* plane = _result->plane( 0 ); int progress = 0; int maxProgress = _result->height(); switch( _type ) { case 0: // flat plane for( int y=0; y<_height; y++ ) { notifyProgressEventHandler(100*progress++/maxProgress); for( int x=0; x<_width; x++ ) { _result->plane(0)->p(x,y) = color.red(); _result->plane(1)->p(x,y) = color.green(); _result->plane(2)->p(x,y) = color.blue(); } } break; case 1: // plane wave for( int y=0; y<_height; y++ ) { notifyProgressEventHandler(100*progress++/maxProgress); for( int x=0; x<_width; x++ ) { double dist = (x)*cos( direction ) + (_height-y)*sin( direction ); double fade = (_decay!=0) ? exp( -dist/_decay ) : 1.0; double value = _amplitude * cos(dist/_wavelength * PI * 2.0) * fade + _offset; plane->p(x,y) = ( (value<0.0)? 0.0 : (value>1.0)? 1.0 : value ); } } break; case 2:// center wave for( int y=0; y<_height; y++ ) { notifyProgressEventHandler(100*progress++/maxProgress); for( int x=0; x<_width; x++ ) { double dist = sqrt( (x-dx)*(x-dx) + (y-dy)*(y-dy) ); double fade = (_decay!=0) ? exp( -dist/_decay ) : 1.0; double value = _amplitude * cos( dist/_wavelength * PI * 2.0 ) * fade + _offset; plane->p(x,y) = ( (value<0.0)? 0.0 : (value>1.0)? 1.0 : value ); } } break; } return true; }
bool IPLConvolutionFilter::processInputData(IPLImage* image , int, bool useOpenCV) { // delete previous result delete _result; _result = NULL; int width = image->width(); int height = image->height(); // get properties _kernel = getProcessPropertyVectorInt("kernel"); _divisor = getProcessPropertyInt("divisor"); _offset = getProcessPropertyDouble("offset"); _normalize = getProcessPropertyBool("normalize"); _borders = getProcessPropertyInt("borders"); if(_normalize) { int sum = 0; for(size_t i=0; i<_kernel.size(); i++) { sum += _kernel[i]; } _divisor = (sum != 0 ? sum : 1); } if (_divisor == 0) { addError("Invalid divisor: 0"); return false; } float divFactor = 1.0f/_divisor; int kernelWidth = (int)sqrt((float)_kernel.size()); int kernelOffset = kernelWidth / 2; int progress = 0; int maxProgress = image->height() * image->getNumberOfPlanes(); if (!useOpenCV) { _result = new IPLImage( image->type(), width, height ); #pragma omp parallel for default(shared) for( int planeNr=0; planeNr < image->getNumberOfPlanes(); planeNr++ ) { IPLImagePlane* plane = image->plane( planeNr ); IPLImagePlane* newplane = _result->plane( planeNr ); for(int y=0; y<plane->height(); y++) { // progress notifyProgressEventHandler(100*progress++/maxProgress); for(int x=0; x<plane->width(); x++) { float sum = 0; int i = 0; for( int ky=-kernelOffset; ky<=kernelOffset; ky++ ) { for( int kx=-kernelOffset; kx<=kernelOffset; kx++ ) { int h = _kernel[i++]; if( h ) { if(_borders == 0) { // Crop borders sum += plane->cp(x+kx, y+ky) * h; } else if(_borders == 1) { // Extend borders sum += plane->bp(x+kx, y+ky) * h; } else { // Wrap borders sum += plane->wp(x+kx, y+ky) * h; } } } } sum = sum * divFactor + _offset; sum = (sum>1.0) ? 1.0 : (sum<0) ? 0.0 : sum; // clamp to 0.0 - 1.0 newplane->p(x,y) = sum; } } } } else { notifyProgressEventHandler(-1); cv::Mat src = image->toCvMat(); cv::Mat dst; cv::Mat kernel(kernelWidth, kernelWidth, CV_32FC1 ); int i = 0; for( int y=0; y < kernelWidth; y++ ) for( int x=0; x < kernelWidth; x++ ) kernel.at<float>(cv::Point(x,y)) = _kernel[i++]; kernel *= divFactor; static const int BORDER_TYPES[3] = { cv::BORDER_CONSTANT, cv::BORDER_REPLICATE, cv::BORDER_WRAP }; cv::filter2D(src, dst, -1, kernel, cv::Point(-1,-1), _offset, BORDER_TYPES[_borders]); _result = new IPLImage(dst); } return true; }
bool IPLCanny::processInputData(IPLImage* image , int, bool useOpenCV) { // delete previous result delete _result; _result = NULL; delete _binaryImage; _binaryImage = NULL; int width = image->width(); int height = image->height(); _result = new IPLImage( image->type(), width, height ); _binaryImage = new IPLImage( IPLData::IMAGE_BW, width, height ); // get properties int window = getProcessPropertyInt("window"); double sigma = getProcessPropertyDouble("sigma"); double lowThreshold = getProcessPropertyDouble("lowThreshold"); double highThreshold = getProcessPropertyDouble("highThreshold"); std::stringstream s; s << "Window: "; s << window; addInformation(s.str()); //! @todo currently only the opencv implementation works if(useOpenCV || true) { notifyProgressEventHandler(-1); cv::Mat input; cv::Mat output; cvtColor(image->toCvMat(), input, CV_BGR2GRAY); cv::Canny(input, output, lowThreshold*255, highThreshold*255, window); delete _result; _result = new IPLImage(output); return true; } return false; // Create a Gaussian 1D filter int N = ceil( sigma * sqrt( 2.0*log( 1.0/0.015 ) ) + 1.0 ); double ssq = sigma*sigma; double* gau = new double [window]; double* dgau = new double [window]; for( int k = -N; k <= N; ++k ) { gau[k+N] = gauss ( (double)k, ssq ); dgau[k+N] = dGauss ( (double)k, 0, ssq ); } // Create a directional derivative of 2D Gaussian (along X-axis) // Since the result is symmetric along X, we can get the derivative along // Y-axis simply by transposing the result for X direction. // DoubleImage* dgau = new DoubleImage( window, window ); // for( int y = -N; y <= N; ++y ) // for( int x = -N; x <= N; ++x ) // dgau->f(x+N, y+N) = dGauss( x, y, ssq ); int progress = 0; int maxProgress = width * image->getNumberOfPlanes(); int nrOfPlanes = image->getNumberOfPlanes(); //#pragma omp parallel for for( int planeNr=0; planeNr < nrOfPlanes; planeNr++ ) { IPLImagePlane* plane = image->plane( planeNr ); IPLImagePlane* newplane = _result->plane( planeNr ); // ******** Gaussian filtering of input image IPLImagePlane* gI = new IPLImagePlane( width, height ); // horizontal run (normalizing original image) IPLImagePlane* tmpI = new IPLImagePlane( width, height ); for(int x=0; x<width; x++) { // progress notifyProgressEventHandler(100*progress++/maxProgress); for(int y=0; y<height; y++) { double sum = 0; int i = 0; for( int kx=-N; kx<=N; kx++ ) { double img = (double) plane->bp(x+kx, y); sum += (img * gau[i++]); } tmpI->p(x,y) = (double) (sum); } } // vertiacl run for(int x=0; x<width; x++) { for(int y=0; y<height; y++) { double sum = 0; int i = 0; for( int ky=-N; ky<=N; ky++ ) { double img = tmpI->bp(x, y+ky); sum += (img * gau[i++]); } gI->p(x,y) = sum; } } //delete tmpI; // ******** Apply directional derivatives ... // ... in x-direction IPLImagePlane* dx = new IPLImagePlane( width, height ); for(int x=0; x<width; x++) { for(int y=0; y<height; y++) { dx->p(x,y) = 0.0; for( int k=1; k<N; k++ ) { dx->p(x,y) += ( gI->bp(x-k,y) - gI->bp(x+k,y) ) * dgau[k]; } } } // double maxVal = 0.0; // for(int x=0; x<width; x++) // for(int y=0; y<height; y++) // if( dx->f(x,y) > maxVal ) maxVal = dx->f(x,y); // ... in y-direction IPLImagePlane* dy = new IPLImagePlane( width, height ); for(int x=0; x<width; x++) { for(int y=0; y<height; y++) { dy->p(x,y) = 0.0; for( int k=1; k<N; k++ ) { dy->p(x,y) += ( gI->bp(x,y-k) - gI->bp(x,y+k) ) * dgau[k]; } } } // ******** Compute magnitude and binarization thresholds IPLImagePlane* mag = new IPLImagePlane( width, height ); double magMax = 0.0; double magMin = 999999999.0; for(int x=0; x<width; x++) { for(int y=0; y<height; y++) { double val = sqrt( dx->p(x,y)*dx->p(x,y) + dy->p(x,y)*dy->p(x,y) ); mag->p(x,y) = val; if( val > magMax ) magMax = val; if( val < magMin ) magMin = val; } } //// ******** Non-maxima suppression - edge pixels should be a local maximum _orientedImage = new IPLOrientedImage( width, height ); for(int x=0; x<width; x++) { for(int y=0; y<height; y++) { double ix = dx->p(x,y); double iy = dy->p(x,y); double g = mag->p(x,y); // determine 4-neighbor direction of gradient int dir4 = 0; if( (iy<=0.0 && ix>-iy) || (iy>=0.0 && ix<-iy) ) dir4 = 1; else if( (ix>0.0 && -iy>=ix) || (ix<0.0 && -iy<=ix) ) dir4 = 2; else if( (ix<=0.0 && ix>iy) || (ix>=0.0 && ix<iy) ) dir4 = 3; else if( (iy<0.0 && ix<=iy) || (iy>0.0 && ix>=iy) ) dir4 = 4; else continue; double gradmag1, gradmag2, d; switch(dir4) { case 1: d = std::fabs(iy/ix); gradmag1 = mag->bp(x+1,y)*(1-d) + mag->bp(x+1,y-1)*d; gradmag2 = mag->bp(x-1,y)*(1-d) + mag->bp(x-1,y+1)*d; break; case 2: d = std::fabs(ix/iy); gradmag1 = mag->bp(x,y-1)*(1-d) + mag->bp(x+1,y-1)*d; gradmag2 = mag->bp(x,y+1)*(1-d) + mag->bp(x-1,y+1)*d; break; case 3: d = std::fabs(ix/iy); gradmag1 = mag->bp(x,y-1)*(1-d) + mag->bp(x-1,y-1)*d; gradmag2 = mag->bp(x,y+1)*(1-d) + mag->bp(x+1,y+1)*d; break; case 4: d = std::fabs(iy/ix); gradmag1 = mag->bp(x-1,y)*(1-d) + mag->bp(x-1,y-1)*d; gradmag2 = mag->bp(x+1,y)*(1-d) + mag->bp(x+1,y+1)*d; break; } if( g > gradmag1 && g > gradmag2 ) { _orientedImage->magnitude(x,y) = g; _orientedImage->phase(x,y) = atan2(iy,ix); } } } for(int x=0; x<width; x++) { for(int y=0; y<height; y++) { _orientedImage->magnitude(x,y) /= magMax; double val = _orientedImage->magnitude(x,y)*255.0; // double val = mag->f(x,y)/magMax*255.0; if (val > 255.0 ) val = 255.0; if (val < 0.0 ) val = 0.0; newplane->p(x,y) = (unsigned char ) val; } } // ******** Binarize with hysteresis threshold double hist[ 256 ]; for( int i=0; i<256; ++i ) hist[i] = 0; int pixCount = 0; for(int x=0; x<width; x++) { for(int y=0; y<height; y++) { if( _orientedImage->magnitude(x,y) > 0.0 ) { int index = floor( _orientedImage->magnitude(x,y)*256.0+0.5 ); ++hist[ index ]; ++pixCount; } } } double PercentOfPixelsNotEdges = 0.7*pixCount; double highThresh = 0.0; double cumsum = 0.0; for( int i=0; i<256; ++i ) { cumsum += hist[i]; if( cumsum > PercentOfPixelsNotEdges ) { highThresh = (double)i / 256.0; break; } } double lowThresh = 0.4 * highThresh; IPLImagePlane* binPlane = _binaryImage->plane( 0 ); for(int x=0; x<width; x++) { for(int y=0; y<height; y++) { if(_orientedImage->magnitude(x,y) >= highThresh) trace(x, y, lowThresh, _orientedImage, binPlane); } } //delete dx; //delete dy; //delete gI; thinning(_orientedImage, binPlane, newplane ); } //delete [] gau; //delete [] dgau; return true; }