void CMainWindow::OnSize(UINT nType, int cx, int cy)
{
//TRACE("CMainWindow::OnSize() %d %d.\n",cx,cy);
CWnd::OnSize(nType, cx, cy);
m_client_rect=CRect(0,0,cx,cy);
CDC *pdc=this->GetDC();
if(m_back_buffer.GetSafeHandle()){
m_back_buffer.DeleteObject();
}
m_back_buffer.CreateCompatibleBitmap(pdc,cx,cy);
this->ReleaseDC(pdc);
UpdateScrollBars();
CRect tmp_rect(m_client_rect.left+320,5,m_client_rect.right,m_client_rect.bottom-5);
//this->ClientToScreen(&tmp_rect);
m_rack_window.MoveWindow(tmp_rect,TRUE);
// TODO: Add your message handler code here
}
int CMainWindow::OnCreate(LPCREATESTRUCT lpCreateStruct)
{
if (CWnd::OnCreate(lpCreateStruct) == -1)
return -1;
TRACE("CMainWindow::OnCreate().\n");
m_big_font.CreatePointFont(110,"Arial Bold",NULL);
m_little_font.CreatePointFont(90,"Courier New Bold",NULL);
m_white_pen.CreatePen(PS_SOLID,1,RGB(255,255,255));
m_vscroll_bar.Create( SBS_VERT|SBS_RIGHTALIGN|WS_CHILD|WS_VISIBLE , CRect(0,5,10,500), this, 1);
this->GetClientRect(&m_client_rect);
CRect tmp_rect(m_client_rect.left+320,5,m_client_rect.right-5,m_client_rect.bottom-5);
m_rack_window.CreateEx(NULL,NULL,NULL,WS_CLIPCHILDREN|WS_VISIBLE|WS_CHILD|WS_BORDER,tmp_rect,this,0,NULL);
UpdateScrollBars();
this->SetTimer(1,1000,NULL);
this->SetTimer(2,10000,NULL);
return 0;
}
void DetectRegions::part2( const cv::Mat& input,
std::vector<img_Plate>& output,
cv::Mat& img_threshold,
const std::string& out_id )
{
cv::Mat my_input;
input.copyTo(my_input);
//Find contours of possibles plates
std::vector< std::vector< cv::Point> > contours;
findContours( img_threshold,
contours, // a vector of contours
CV_RETR_EXTERNAL, // retrieve the external contours
// CV_CHAIN_APPROX_NONE ); // all pixels of each contours
CV_CHAIN_APPROX_SIMPLE );
//Start to iterate to each contour founded
std::vector< std::vector<cv::Point> >::iterator itc = contours.begin();
std::vector<cv::RotatedRect> rects;
cv::Mat my_input_rect;
input.copyTo(my_input_rect);
//Remove patch that are no inside limits of aspect ratio and area.
while (itc != contours.end())
{
//Create bounding rect of object
cv::RotatedRect mr = minAreaRect(cv::Mat(*itc));
if (!verifySizes(mr))
{
itc = contours.erase(itc);
// rotated rectangle drawing
cv::Point2f rect_points[4];
mr.points( rect_points );
for (int j = 0; j < 4; ++j)
line( my_input_rect, rect_points[j], rect_points[ (j + 1) % 4 ],
cv::Scalar(255,0,0), 1, 8 );
}
else
{
++itc;
rects.push_back(mr);
// rotated rectangle drawing
cv::Point2f rect_points[4];
mr.points( rect_points );
for (int j = 0; j < 4; ++j)
line( my_input_rect, rect_points[j], rect_points[ (j + 1) % 4 ],
cv::Scalar(0,255,0), 2, 8 );
}
}
D_IMG_SAVE( my_input_rect, "img_" << out_id << "Rect.png" );
// Draw blue contours on a white image
cv::Mat result;
input.copyTo(result);
cv::drawContours( result, contours,
-1, // draw all contours
cv::Scalar(255,0,0), // in blue
1 ); // with a thickness of 1
// 3 ); // with a thickness of 1
D_IMG_SAVE( result, "04_img_" << out_id << "Contours.png" );
// std::cerr << "rects.size : " << rects.size() << std::endl;
std::vector<cv::Mat> Mats;
for (unsigned int i = 0; i < rects.size(); ++i)
{
//For better rect cropping for each posible box
//Make floodfill algorithm because the plate has white background
//And then we can retrieve more clearly the contour box
circle(result, rects[i].center, 3, cv::Scalar(0,255,0), -1);
//get the min size between width and height
// float minSize = ( (rects[i].size.width < rects[i].size.height)
float minSize = ( (rects[i].size.width > rects[i].size.height)
? (rects[i].size.width)
: (rects[i].size.height) );
minSize = minSize - minSize * 0.5;
//initialize rand and get 5 points around center for floodfill algorithm
srand ( time(NULL) );
//Initialize floodfill parameters and variables
cv::Mat mask;
mask.create(input.rows + 2, input.cols + 2, CV_8UC1);
mask = cv::Scalar::all(0);
int loDiff = 30;
int upDiff = 30;
int connectivity = 4;
int newMaskVal = 255;
// int NumSeeds = 100;
cv::Rect ccomp;
int flags = connectivity + (newMaskVal << 8) + CV_FLOODFILL_FIXED_RANGE + CV_FLOODFILL_MASK_ONLY;
int max_size = rects[i].size.width * rects[i].size.height;
cv::Rect b_rect = rects[i].boundingRect();
int min_x = b_rect.x;
int min_y = b_rect.y;
int max_x = min_x + b_rect.width;
int max_y = min_y + b_rect.height;
for (int local_y = min_y; local_y < max_y; local_y += 5)
for (int local_x = min_x; local_x < max_x; local_x += 5)
{
cv::Point seed;
seed.x = local_x;
seed.y = local_y;
if (Collision( contours[i], seed ))
{
cv::Mat tmp_mask;
tmp_mask.create( input.rows + 2, input.cols + 2, CV_8UC1 );
tmp_mask = cv::Scalar::all(0);
int area = floodFill( input, tmp_mask, seed,
cv::Scalar(255,0,0), &ccomp,
cv::Scalar(loDiff, loDiff, loDiff),
cv::Scalar(upDiff, upDiff, upDiff), flags );
{
cv::Point c( ccomp.x + ccomp.width / 2,
ccomp.y + ccomp.height / 2 );
cv::Size s( ccomp.width, ccomp.height );
cv::RotatedRect tmp_rect( c, s, 0 );
// rotated rectangle drawing
cv::Point2f rect_points[4];
tmp_rect.points( rect_points );
for (int j = 0; j < 4; ++j)
line( my_input, rect_points[j], rect_points[ (j + 1) % 4 ],
cv::Scalar(0,255,255), 1, 8 );
}
bool rect_invalid = ( ccomp.x < min_x || ccomp.x > max_x ||
ccomp.y < min_y || ccomp.y > max_y );
cv::Point left_top( min_x, min_y );
cv::Point right_top( max_x, min_y );
cv::Point left_bottom( min_x, max_y );
cv::Point right_bottom( max_x, max_y );
if (area > max_size)
{
circle( result, seed, 1, cv::Scalar(255,0,0), -1 );
circle( my_input, seed, 1, cv::Scalar(255,0,0), -1 );
}
else if (rect_invalid)
{
circle( result, seed, 1, cv::Scalar(255,0,0), -1 );
circle( my_input, seed, 1, cv::Scalar(255,0,0), -1 );
}
else
{
circle( result, seed, 1, cv::Scalar(0,255,0), -1 );
circle( my_input, seed, 1, cv::Scalar(0,255,0), -1 );
floodFill( input, mask, seed,
cv::Scalar(255,0,0), &ccomp,
cv::Scalar(loDiff, loDiff, loDiff),
cv::Scalar(upDiff, upDiff, upDiff), flags );
}
}
else
{
circle( result, seed, 1, cv::Scalar(255,0,0), -1 );
circle( my_input, seed, 1, cv::Scalar(255,0,0), -1 );
}
} // for (int j = 0; j < NumSeeds; ++j)
{
// rotated rectangle drawing
cv::Point2f rect_points[4];
rects[i].points( rect_points );
for (int j = 0; j < 4; ++j)
line( my_input, rect_points[j], rect_points[ (j + 1) % 4 ],
cv::Scalar(255,255,255), 2, 8 );
D_IMG_SAVE( mask, "img_" << out_id << "" << i << "_01_Mask.png" );
}
//cvWaitKey(0);
//Check new floodfill mask match for a correct patch.
//Get all points detected for get Minimal rotated Rect
std::vector<cv::Point> pointsInterest;
cv::Mat_<uchar>::iterator itMask = mask.begin<uchar>();
cv::Mat_<uchar>::iterator end = mask.end<uchar>();
for (; itMask != end; ++itMask)
if (*itMask == 255)
pointsInterest.push_back(itMask.pos());
if (pointsInterest.size() < 2)
continue;
cv::RotatedRect minRect = minAreaRect(pointsInterest);
if (verifySizes(minRect))
{
// rotated rectangle drawing
cv::Point2f rect_points[4]; minRect.points( rect_points );
for( int j = 0; j < 4; j++ )
line( result, rect_points[j], rect_points[(j+1)%4], cv::Scalar(0,0,255), 1, 8 );
//Get rotation matrix
float r = (float)minRect.size.width / (float)minRect.size.height;
float angle=minRect.angle;
if (r < 1)
angle = 90 + angle;
cv::Mat rotmat = getRotationMatrix2D(minRect.center, angle,1);
//Create and rotate image
cv::Mat img_rotated;
warpAffine(input, img_rotated, rotmat, input.size(), CV_INTER_CUBIC);
//Crop image
cv::Size rect_size = minRect.size;
if (r < 1)
std::swap( rect_size.width, rect_size.height );
cv::Mat img_crop;
getRectSubPix(img_rotated, rect_size, minRect.center, img_crop);
D_IMG_SAVE( img_crop, "img_" << out_id << "" << i << "_02_crop.png" );
cv::Mat resultResized;
resultResized.create(33,144, CV_8UC3);
resize(img_crop, resultResized, resultResized.size(), 0, 0, cv::INTER_CUBIC);
D_IMG_SAVE( resultResized, "img_" << out_id << "" << i << "_03_resultResized.png" );
output.push_back( img_Plate( resultResized, minRect.boundingRect() ) );
// //Equalize croped image
// cv::Mat grayResult;
// cvtColor(resultResized, grayResult, CV_BGR2GRAY);
// // blur(grayResult, grayResult, Size(3,3));
// grayResult = histeq(grayResult);
// D_IMG_SAVE( grayResult, "img_" << out_id << "" << i << "_04_grayResult.png" );
// output.push_back( Plate( grayResult, minRect.boundingRect() ) );
} // if (verifySizes(minRect))
} // for (int i = 0; i < rects.size(); ++i)
D_IMG_SAVE( result, "10_img_" << out_id << "Contours.png" );
D_IMG_SAVE( my_input, "11_img_" << out_id << "my_input.png" );
}
