本文整理汇总了C++中ImageFeature::xsize方法的典型用法代码示例。如果您正苦于以下问题:C++ ImageFeature::xsize方法的具体用法?C++ ImageFeature::xsize怎么用?C++ ImageFeature::xsize使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类ImageFeature
的用法示例。
在下文中一共展示了ImageFeature::xsize方法的15个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: fft
ImageFeature fft(const ImageFeature &img) {
ImageFeature result(img.xsize(),img.ysize(),2);
#ifdef HAVE_FFT_LIBRARY
fftw_complex FIMG[img.xsize()][img.ysize()];
for(uint x=0;x<img.xsize();++x) {
for(uint y=0;y<img.ysize();++y) {
FIMG[x][y].re=img(x,y,0);
FIMG[x][y].im=0;
}
}
fftwnd_plan plan = fftw2d_create_plan(img.xsize(),img.ysize(), FFTW_FORWARD, FFTW_ESTIMATE | FFTW_IN_PLACE);
fftwnd_one(plan,&FIMG[0][0],NULL);
fftwnd_destroy_plan(plan);
for(uint x=0;x<img.xsize();++x) {
for(uint y=0;y<img.ysize();++y) {
result(x,y,0)=FIMG[x][y].re;
result(x,y,1)=FIMG[x][y].im;
}
}
#else
#warning "FFT is used without FFT library enabled."
ERR << "FFT not available, thus returning empty image instead of fourier transformed version. All that comes now is probably bogus." << endl;
#endif
return result;
}
示例2: convolve
void convolve(ImageFeature &img, const ImageFeature &filter) {
ImageFeature copy=img;
int height2=filter.ysize()/2;
int width2=filter.xsize()/2;
double tmp;
for(uint c=0;c<img.zsize();++c) {
for(uint x=0;x<img.xsize();++x) {
for(uint y=0;y<img.ysize();++y) {
tmp=0.0;
for(int i=-width2;i<=width2;++i) {
int xx=x+i;
if(xx<int(img.xsize()) && int(xx) >= 0) {
for(int j=-height2;j<=height2;++j) {
int yy=y+j;
if(int(yy)>=0 && yy < int(img.ysize())) {
tmp+=filter(i+width2,j+height2,0)*copy(xx,yy,c);
}
}
}
}
img(x,y,c)=tmp;
}
}
}
}
示例3: histogramNormalization
void histogramNormalization(ImageFeature &img) {
const uint bins=256;
vector<int> H(bins);
vector<double> T(bins);
for(uint c=0;c<img.zsize();++c) {
//DBG(10) << "c=" << c << endl;
for(uint x=0;x<img.xsize();++x) {
for(uint y=0;y<img.ysize();++y) {
++H[int(img(x,y,c)*255)];
}
}
for(uint p=1;p<bins;++p) {
H[p]+=H[p-1];
}
for(uint p=0;p<bins;++p) {
T[p]=(1.0/double(img.size()))*double(H[p]);
}
for(uint x=0;x<img.xsize();++x) {
for(uint y=0;y<img.ysize();++y) {
img(x,y,c)=T[int(img(x,y,c)*255)];
}
}
}
}
示例4: makeGray
// default for type is set in imagelib.hpp
// type = 0: maximum (as in HSV)
// type = 1: mean
// type = 2: luminance (use only for RGB images!)
ImageFeature makeGray(const ImageFeature &img, const uint type) {
ImageFeature result(img.xsize(), img.ysize(),1) ;
double value;
if( (type == 2) && (img.zsize() != 3) )
{
ERR << "Image has invalid color resolution!" << endl;
return result;
}
for(uint x=0;x<img.xsize();++x) {
for(uint y=0;y<img.ysize();++y) {
value=0.0;
switch(type){
case 0: //max
for(uint c=0;c<img.zsize();++c) {
value=::std::max(value,img(x,y,c));
}
break;
case 1: //mean
for(uint c=0;c<img.zsize();++c) {
value+=img(x,y,c);
}
value/=img.zsize();
break;
case 2: // luminance
value = 0.3 * img(x,y,0) + 0.59 * img(x,y,1) + 0.11 * img(x,y,2);
break;
}
result(x,y,0)=value;
}
}
return result;
}
示例5: difference
ImageFeature DifferenceOfGaussian::difference(const ImageFeature& img1, const ImageFeature& img2) {
ImageFeature newImage = ImageFeature(img1.xsize(), img1.ysize(), 1);
for (int x = 0; x < (int) newImage.xsize(); x++) {
for (int y = 0; y < (int) newImage.ysize(); y++) {
newImage(x, y, 0) = img1(x, y, 0) - img2(x, y, 0);
}
}
return newImage;
}
示例6: localvariance
ImageFeature localvariance(const ImageFeature &image, const uint winsize) {
ImageFeature result(image.xsize(),image.ysize(),1);
for(uint x=winsize;x<image.xsize()-winsize;++x) {
for(uint y=winsize;y<image.ysize()-winsize;++y) {
result(x,y,0)=localvariance(image, winsize, x,y);
}
}
return result;
}
示例7: setPatch
void setPatch(ImageFeature& image, const uint xpos, const uint ypos, const ImageFeature &patch) {
DBG(50) << "set image patch from (" << xpos << "," << ypos << ") to (" << xpos+patch.xsize() << "," << ypos+patch.ysize() << ") " << endl;
for(uint x=0;x<patch.xsize();++x) {
for(uint y=0;y<patch.ysize();++y) {
for(uint z=0;z<patch.zsize();++z) {
if(x+xpos<image.xsize() && y+ypos<image.ysize()) {
image(x+xpos,y+ypos,z)=patch(x,y,z);
}
}
}
}
}
示例8: multiply
void multiply(ImageFeature &img1, const ImageFeature& img2) {
if ((img1.xsize() != img2.xsize()) ||
(img1.ysize() != img2.ysize()) ||
(img1.zsize() != img2.zsize())) {
DBG(10) << "image features have different sizes, cannot be multiplied.";
}
for (uint z = 0; z < img1.zsize(); z++)
for (uint x = 0; x < img1.xsize(); x++)
for (uint y = 0; y < img1.ysize(); y++) {
img1(x, y, z) = img1(x, y, z) * img2(x, y, z);
}
}
示例9: rotate90
ImageFeature rotate90(const ImageFeature &img) {
uint X=img.xsize();
ImageFeature result(img.ysize(),img.xsize(),img.zsize());
for(uint x=0;x<img.ysize();++x) {
for(uint y=0;y<img.xsize();++y) {
for(uint z=0;z<img.zsize();++z) {
result(x,y,z)=img(y,X-x-1,z);
}
}
}
return result;
}
示例10: zeropad
ImageFeature zeropad(const ImageFeature& image, uint xpad, uint ypad) {
ImageFeature result(image.xsize()+2*xpad, image.ysize()+2*ypad, image.zsize());
for(uint x=xpad;x<image.xsize()+xpad;++x) {
for(uint y=ypad;y<image.ysize()+ypad;++y) {
for(uint c=0;c<image.zsize();++c) {
result(x,y,c)=image(x-xpad,y-ypad,c);
}
}
}
return result;
}
示例11: flip
ImageFeature flip(const ImageFeature &img) {
ImageFeature result(img.xsize(),img.ysize(),img.zsize());
for(uint x=0;x<img.xsize();++x) {
for(uint y=0;y<img.ysize();++y) {
for(uint z=0;z<img.zsize();++z) {
result(img.xsize()-x-1,y,z)=img(x,y,z);
}
}
}
return result;
}
示例12: localEntropy
ImageFeature localEntropy(const ImageFeature &image, const uint winsize) {
ImageFeature result(image.xsize(), image.ysize(), image.zsize());
for(uint x=0;x<image.xsize();++x) {
for(uint y=0;y<image.ysize();++y) {
for(uint z=0; z<image.zsize();++z) {
result(x,y,z)=localEntropy(image, x,y,z,winsize);
}
}
}
return result;
}
示例13: meanandvariance
void meanandvariance(const ImageFeature &img, double &mean, double &variance, const uint layer) {
mean=0.0; variance=0.0;
for(uint y=0;y<img.ysize();++y) {
for(uint x=0;x<img.xsize();++x) {
mean+=img(x,y,layer);
variance+=img(x,y,layer)*img(x,y,layer);
}
}
uint size=img.xsize()*img.ysize();
mean/=double(size);
variance/=double(size);
variance-=mean*mean;
}
示例14: threshold
ImageFeature threshold(const ImageFeature &image, const double threshold) {
ImageFeature result(image.xsize(), image.ysize(), image.zsize());
for(uint x=0;x<image.xsize();++x) {
for(uint y=0;y<image.ysize();++y) {
for(uint z=0;z<image.zsize();++z) {
if(image(x,y,z)>=threshold) {
result(x,y,z)=1.0;
} else {
result(x,y,z)=0.0;
}
}
}
}
return result;
}
示例15: SamplesToCoefficients
InterpolatingImage::InterpolatingImage(const ImageFeature& image, uint splinedegree) : sourceImage_(image), splinedegree_(splinedegree) {
#ifdef HAVE_INTERPOL_LIBRARY
coeff_=new float*[image.zsize()];
for(uint i=0; i<image.zsize(); ++i) {
coeff_[i]=new float[image.xsize()*image.ysize()];
for(uint x=0; x<image.xsize(); ++x) {
for(uint y=0; y<image.ysize(); ++y) {
coeff_[i][y*image.xsize()+x]=float(image(x,y,i));
}
}
SamplesToCoefficients(coeff_[i],image.xsize(),image.ysize(),splinedegree);
}
#endif
}