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/* Copyright (c) 2012 Patrick Ruoff
*
* Permission to use, copy, modify, and/or distribute this software for any
* purpose with or without fee is hereby granted, provided that the above
* copyright notice and this permission notice appear in all copies.
*/
#include "point_extractor.h"
#include <QDebug>
using namespace cv;
using namespace std;
PointExtractor::PointExtractor(){
//if (!AllocConsole()){}
//else SetConsoleTitle("debug");
//freopen("CON", "w", stdout);
//freopen("CON", "w", stderr);
}
// ----------------------------------------------------------------------------
const vector<Vec2f>& PointExtractor::extract_points(Mat& frame)
{
const int W = frame.cols;
const int H = frame.rows;
if (frame_last.cols != W || frame_last.rows != H)
{
frame_last = cv::Mat();
}
// clear old points
points.clear();
// convert to grayscale
Mat frame_gray;
cvtColor(frame, frame_gray, CV_RGB2GRAY);
int secondary = threshold_secondary_val;
// mask for everything that passes the threshold (or: the upper threshold of the hysteresis)
Mat frame_bin;
// only used if draw_output
Mat frame_bin_copy;
// mask for everything that passes
Mat frame_bin_low;
// mask for lower-threshold && combined result of last, needs to remain in scope until drawing, but is only used if secondary != 0
Mat frame_last_and_low;
if(secondary==0){
threshold(frame_gray, frame_bin, threshold_val, 255, THRESH_BINARY);
}else{
// we recombine a number of buffers, this might be slower than a single loop of per-pixel logic
// but it might as well be faster if openCV makes good use of SIMD
float t = threshold_val;
//float hyst = float(threshold_secondary_val)/512.;
//threshold(frame_gray, frame_bin, (t + ((255.-t)*hyst)), 255, THRESH_BINARY);
float hyst = float(threshold_secondary_val)/256.;
threshold(frame_gray, frame_bin, t, 255, THRESH_BINARY);
threshold(frame_gray, frame_bin_low,std::max(float(1), t - (t*hyst)), 255, THRESH_BINARY);
frame_bin.copyTo(frame_bin_copy);
if(frame_last.empty()){
frame_bin.copyTo(frame_last);
}else{
// keep pixels from last if they are above lower threshold
bitwise_and(frame_last, frame_bin_low, frame_last_and_low);
// union of pixels >= higher threshold and pixels >= lower threshold
bitwise_or(frame_bin, frame_last_and_low, frame_last);
frame_last.copyTo(frame_bin);
}
}
unsigned int region_size_min = 3.14*min_size*min_size/4.0;
unsigned int region_size_max = 3.14*max_size*max_size/4.0;
int blob_index = 1;
for (int y=0; y<H; y++)
{
if (blob_index >= 255) break;
for (int x=0; x<W; x++)
{
if (blob_index >= 255) break;
// find connected components with floodfill
if (frame_bin.at<unsigned char>(y,x) != 255) continue;
Rect rect;
floodFill(frame_bin, Point(x,y), Scalar(blob_index), &rect, Scalar(0), Scalar(0), FLOODFILL_FIXED_RANGE);
blob_index++;
// calculate the size of the connected component
unsigned int region_size = 0;
for (int i=rect.y; i < (rect.y+rect.height); i++)
{
for (int j=rect.x; j < (rect.x+rect.width); j++)
{
if (frame_bin.at<unsigned char>(i,j) != blob_index-1) continue;
region_size++;
}
}
if (region_size < region_size_min || region_size > region_size_max) continue;
// calculate the center of mass:
// mx = (sum_ij j*f(frame_grey_ij)) / (sum_ij f(frame_grey_ij))
// my = ...
// f maps from [threshold,256] -> [0, 1], lower values are mapped to 0
float m = 0;
float mx = 0;
float my = 0;
for (int i=rect.y; i < (rect.y+rect.height); i++)
{
for (int j=rect.x; j < (rect.x+rect.width); j++)
{
if (frame_bin.at<unsigned char>(i,j) != blob_index-1) continue;
float val;
if(secondary==0){
val = frame_gray.at<unsigned char>(i,j);
val = float(val - threshold_val)/(256 - threshold_val);
val = val*val; // makes it more stable (less emphasis on low values, more on the peak)
}else{
//hysteresis point detection gets stability from ignoring pixel noise so we decidedly leave the actual pixel values out of the picture
val = frame_last.at<unsigned char>(i,j) / 256.;
}
m += val;
mx += j * val;
my += i * val;
}
}
// convert to centered camera coordinate system with y axis upwards
Vec2f c;
c[0] = (mx/m - W/2)/W;
c[1] = -(my/m - H/2)/W;
//qDebug()<<blob_index<<" => "<<c[0]<<" "<<c[1];
points.push_back(c);
}
}
// draw output image
vector<Mat> channels;
if(secondary==0){
frame_bin.setTo(170, frame_bin);
channels.push_back(frame_gray + frame_bin);
channels.push_back(frame_gray - frame_bin);
channels.push_back(frame_gray - frame_bin);
}else{
frame_bin_copy.setTo(120, frame_bin_copy);
frame_bin_low.setTo(90, frame_bin_low);
channels.push_back(frame_gray + frame_bin_copy);
channels.push_back(frame_gray + frame_last_and_low);
channels.push_back(frame_gray + frame_bin_low);
//channels.push_back(frame_gray + frame_bin);
}
merge(channels, frame);
return points;
}
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