//Extract features of char, input char size is 15*15
Mat OCR::features(Mat in, int sizeData){
//Histogram features
Mat vhist=ProjectedHistogram(in, VERTICAL);
Mat hhist=ProjectedHistogram(in, HORIZONTAL);
//Feature of low resolution data
Mat lowData;
resize(in, lowData, Size(sizeData, sizeData) );
//Show Char Features
drawVisualFeatures(in, hhist, vhist, lowData);
//Last 10 is the number of moments components
int numCols=vhist.cols+hhist.cols+lowData.cols*lowData.cols;
Mat out=Mat::zeros(1,numCols,CV_32F);
//Assign values to feature
int j=0;
for(int i=0; i<vhist.cols; i++)
{
out.at<float>(j)=vhist.at<float>(i);
j++;
}
for(int i=0; i<hhist.cols; i++)
{
out.at<float>(j)=hhist.at<float>(i);
j++;
}
for(int x=0; x<lowData.cols; x++)
{
for(int y=0; y<lowData.rows; y++){
out.at<float>(j)=(float)lowData.at<unsigned char>(x,y);
j++;
}
}
// if(showSteps) {
// cout << "\n==============Char Features================\n";
// cout << out;
// cout << "\n===========================================\n";
// cvWaitKey(0);
// }
return out;
}
// 特征提取
Mat OCR::features(Mat in, int sizeData) {
//Histogram features
Mat vhist = ProjectedHistogram(in, VERTICAL);
Mat hhist = ProjectedHistogram(in, HORIZONTAL);
Mat lowData;
resize(in, lowData, Size(sizeData, sizeData));
if (DEBUG)
drawVisualFeatures(in, hhist, vhist, lowData);
int numCols = vhist.cols + hhist.cols + lowData.cols*lowData.cols;
Mat out = Mat::zeros(1, numCols, CV_32F);
int j = 0;
for (int i = 0; i<vhist.cols; i++)
{
out.at<float>(j) = vhist.at<float>(i);
j++;
}
for (int i = 0; i<hhist.cols; i++)
{
out.at<float>(j) = hhist.at<float>(i);
j++;
}
for (int x = 0; x<lowData.cols; x++)
{
for (int y = 0; y<lowData.rows; y++) {
out.at<float>(j) = (float)lowData.at<unsigned char>(x, y);
j++;
}
}
if (DEBUG)
cout << out << "\n===========================================\n";
return out;
}
