bool InstIconList::Add(const wxImage image, const wxImage hlimage, const wxImage image128, const wxString key, const wxString name,
const wxString filename)
{
InstIcon *defIcon = nullptr;
if (iconMap.count(key) > 0)
{
defIcon = new InstIcon(iconMap[key]);
}
wxImage newbig = image128;
if(image128.GetWidth() != 128 || image128.GetHeight() != 128)
{
newbig.Rescale(128,128);
}
if (image.GetWidth() != 32 || image.GetHeight() != 32)
{
wxImage newImg(image);
wxImage newHLImg(hlimage);
newImg.Rescale(32, 32);
newHLImg.Rescale(32, 32);
#ifdef DEBUG_ICONS
if(!newImg.HasAlpha())
{
wxLogMessage(_("Image %s has no alpha after rescaling."), key.c_str() );
}
#endif
InstIcon newInstIcon(key, name, newImg, newHLImg, newbig, filename, defIcon);
newInstIcon.deleteDefIconOnDestroy = false;
iconMap[key] = newInstIcon;
}
else
{
InstIcon newInstIcon(key, name, image, hlimage, newbig, filename, defIcon);
newInstIcon.deleteDefIconOnDestroy = false;
iconMap[key] = newInstIcon;
}
return true;
}
void RGBImage::setImageData(int width, int height, const QByteArray &pixelData)
{
QMutexLocker locker(&m_mutex);
qDebug() << "[RGBImage] setting image data:" << width << height << pixelData.length();
QImage newImg(width, height, QImage::Format_RGB888);
newImg.fill(Qt::black);
int i = 0;
for (int y = 0; y < height; y++)
{
for (int x = 0; x < width; x++)
{
if (i + 3 > pixelData.length())
break;
QRgb pixel = qRgb((uchar)pixelData.at(i), (uchar)pixelData.at(i + 1), (uchar)pixelData.at(i + 2));
newImg.setPixel(x, y, pixel);
i+=3;
}
}
m_image = newImg;
}
int main(int argc, char** argv)
{
int height ,width ,step ,channels;
int same, lighter;
float thresh;
uchar *dataB, *dataG, *dataR, *dataGray, *dataD;
uchar b1, g1, r1, b2, g2, r2;
int w = 3;
int th = 50;
int idx1, idx2;
cv::Mat img = cv::imread(argv[1]);
height = img.rows;
width = img.cols;
cv::namedWindow("Image0", cv::WINDOW_NORMAL);
cv::Mat textImg(1000, 1200, CV_8UC1, cv::Scalar(255));
cv::putText(textImg, "Original Image:", cv::Point(400, 500), cv::FONT_HERSHEY_SIMPLEX, 2, cv::Scalar(0, 0, 0));
//cv::imshow("Image0", textImg);
//cv::waitKey();
//cv::imshow("Image0", img);
//cv::waitKey();
textImg.setTo(cv::Scalar(255, 255, 255));
cv::putText(textImg, "Next: Apply SUSAN algorithm to detect edge and cross.", cv::Point(200, 500), cv::FONT_HERSHEY_SIMPLEX, 1, cv::Scalar(0, 255, 255));
cv::putText(textImg, "Press any key to continue...", cv::Point(400, 600), cv::FONT_HERSHEY_SIMPLEX, 1, cv::Scalar(0, 255, 255));
//cv::imshow("Image0", textImg);
//cv::waitKey();
std::vector<cv::Mat> imgChannels;
cv::split(img, imgChannels);
cv::Mat dstSusan(height, width, CV_8UC1, cv::Scalar(0));
cv::Mat grayImg(height, width, CV_8UC1, cv::Scalar(0));
step = imgChannels[0].step[0];
dataB = imgChannels[0].data;
dataG = imgChannels[1].data;
dataR = imgChannels[2].data;
dataGray = grayImg.data;
dataD= dstSusan.data;
for (int x = w; x < width-w; x++)
{
for (int y = w; y < height-w; y++)
{
same = 0;
idx1 = x + y * step;
b1 = dataB[idx1];
g1 = dataG[idx1];
r1 = dataR[idx1];
for (int u = 0; u < w+1; u++)
{
for (int v = 0; v < w+1; v++)
{
if (u + v == 0)
{
continue;
}
idx2 = (x+u) + (y+v) * step;
b2 = dataB[idx2];
g2 = dataG[idx2];
r2 = dataR[idx2];
if (calc_dist(b1, g1, r1, b1, g2, r2) < th)
{
same += 1;
}
idx2 = (x-u) + (y+v) * step;
b2 = dataB[idx2];
g2 = dataG[idx2];
r2 = dataR[idx2];
if (u != 0 && calc_dist(b1, g1, r1, b1, g2, r2) < th)
{
same += 1;
}
idx2 = (x+u) + (y-v) * step;
b2 = dataB[idx2];
g2 = dataG[idx2];
r2 = dataR[idx2];
if (v != 0 && calc_dist(b1, g1, r1, b1, g2, r2) < th)
{
same += 1;
}
idx2 = (x-u) + (y-v) * step;
b2 = dataB[idx2];
g2 = dataG[idx2];
r2 = dataR[idx2];
if (u != 0 && v != 0 && calc_dist(b1, g1, r1, b1, g2, r2) < th)
{
same += 1;
}
}
}
dataD[idx1] = uchar(255.0 * float(same) / ((2*w+1) * (2*w+1) - 1));
if (dataD[idx1] < 128)
{
dataD[idx1] = 255;
}
else
{
dataD[idx1] = 0;
}
}
}
//cv::imshow("Image0", dstSusan);
cv::imwrite("outimg_1.jpg", dstSusan);
textImg.setTo(cv::Scalar(255, 255, 255));
cv::putText(textImg, "Next: Apply Hough algorithm to detect lines.", cv::Point(300, 500), cv::FONT_HERSHEY_SIMPLEX, 1, cv::Scalar(0, 255, 255));
cv::putText(textImg, "Press any key to continue...", cv::Point(400, 600), cv::FONT_HERSHEY_SIMPLEX, 1, cv::Scalar(0, 255, 255));
//cv::waitKey();
//cv::imshow("Image0", textImg);
//cv::waitKey();
//Hough line detection
std::vector<cv::Vec4i> lines;
HoughLinesP(dstSusan, lines, 1, CV_PI/180, 80, 500, 20);
double thetaSum = 0.0;
int thetaNum = 0;
double theta;
for(size_t i = 0; i < lines.size(); i++)
{
cv::Vec4i l = lines[i];
cv::line(img, cv::Point(l[0], l[1]), cv::Point(l[2], l[3]), cv::Scalar(186,88,255), 1, CV_AA);
if (l[0] == l[2])
{
theta = CV_PI / 2;
}
else
{
theta = std::atan(-double(l[3]-l[1]) / (l[2] - l[0]));
}
if (theta >= -CV_PI / 4 && theta <= CV_PI / 4)
{
thetaSum += theta;
thetaNum += 1;
}
}
theta = -thetaSum / thetaNum * 180 / CV_PI;
//cv::imshow("Image0", img);
cv::imwrite("outimg_2.jpg", img);
//cv::waitKey();
textImg.setTo(cv::Scalar(255, 255, 255));
std::ostringstream textStr;
textStr << "Find " << lines.size() << " lines.";
cv::putText(textImg, textStr.str(), cv::Point(500, 400), cv::FONT_HERSHEY_SIMPLEX, 1, cv::Scalar(0, 255, 255));
textStr.str(std::string());
textStr.clear();
textStr << "Rotating angle is " << theta << " degree.";
cv::putText(textImg, textStr.str(), cv::Point(350, 500), cv::FONT_HERSHEY_SIMPLEX, 1, cv::Scalar(0, 255, 255));
cv::putText(textImg, "Next: Rotating the image.", cv::Point(400, 600), cv::FONT_HERSHEY_SIMPLEX, 1, cv::Scalar(0, 255, 255));
cv::putText(textImg, "Press any key to continue...", cv::Point(400, 700), cv::FONT_HERSHEY_SIMPLEX, 1, cv::Scalar(0, 255, 255));
//cv::imshow("Image0", textImg);
//cv::waitKey();
img.release();
img = cv::imread(argv[1]);
imgChannels[0].release();
imgChannels[1].release();
imgChannels[2].release();
imgChannels.clear();
cv::Mat rotateImg(height, width, CV_8UC3);
cv::Point2f center;
center.x = float(width / 2.0 + 0.5);
center.y = float(height / 2.0 + 0.5);
cv::Mat affineMat = getRotationMatrix2D(center, theta, 1);
cv::warpAffine(img,rotateImg, affineMat, cv::Size(width, height), CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS);
//cv::imshow("Image0", rotateImg);
cv::imwrite("outimg_3.jpg", rotateImg);
//cv::waitKey();
textImg.setTo(cv::Scalar(255, 255, 255));
cv::putText(textImg, "Next: Transform the image to gray scale.", cv::Point(300, 500), cv::FONT_HERSHEY_SIMPLEX, 1, cv::Scalar(0, 255, 255));
cv::putText(textImg, "Press any key to continue...", cv::Point(400, 600), cv::FONT_HERSHEY_SIMPLEX, 1, cv::Scalar(0, 255, 255));
//cv::imshow("Image0", textImg);
//cv::waitKey();
cv::split(rotateImg, imgChannels);
dataB = imgChannels[0].data;
dataG = imgChannels[1].data;
dataR = imgChannels[2].data;
step = imgChannels[0].step[0];
//imgChannels[2].setTo(cv::Scalar(0));
for (int x = 0; x < rotateImg.cols; x++)
{
for (int y = 0; y < rotateImg.rows; y++)
{
int idx = x + y * step;
if (dataB[idx] < dataG[idx] && dataB[idx] < dataR[idx])
{
dataG[idx] = dataB[idx];
dataR[idx] = dataB[idx];
}
if (dataG[idx] < dataB[idx] && dataG[idx] < dataR[idx])
{
dataB[idx] = dataG[idx];
dataR[idx] = dataG[idx];
}
if (dataR[idx] < dataB[idx] && dataR[idx] < dataG[idx])
{
dataB[idx] = dataR[idx];
dataG[idx] = dataR[idx];
}
}
}
cv::Mat filterRedImg(rotateImg.rows, rotateImg.cols, CV_8UC3, cv::Scalar::all(255));
cv::merge(imgChannels, filterRedImg);
cv::cvtColor(filterRedImg, grayImg, CV_BGR2GRAY);
//cv::imshow("Image0", grayImg);
cv::imwrite("outimg_4.jpg", grayImg);
//cv::waitKey();
textImg.setTo(cv::Scalar(255, 255, 255));
cv::putText(textImg, "Next: Clean the noise.", cv::Point(450, 500), cv::FONT_HERSHEY_SIMPLEX, 1, cv::Scalar(0, 255, 255));
cv::putText(textImg, "Press any key to continue...", cv::Point(400, 600), cv::FONT_HERSHEY_SIMPLEX, 1, cv::Scalar(0, 255, 255));
//cv::imshow("Image0", textImg);
//cv::waitKey();
step = grayImg.step[0];
for (int x = 0; x < width; x++)
{
for (int y = 0; y < height; y++)
{
int idx = x + y * step;
if (grayImg.data[idx] > 100)
//if(!is_gray(dataB[idx], dataG[idx], dataR[idx]))
{
grayImg.data[idx] = 255;
}
}
}
//cv::imshow("Image0", grayImg);
cv::imwrite("outimg_5.jpg", grayImg);
//cv::waitKey();
textImg.setTo(cv::Scalar(255, 255, 255));
cv::putText(textImg, "Next: Digitizing the curves.", cv::Point(400, 500), cv::FONT_HERSHEY_SIMPLEX, 1, cv::Scalar(0, 255, 255));
cv::putText(textImg, "Press any key to continue...", cv::Point(400, 600), cv::FONT_HERSHEY_SIMPLEX, 1, cv::Scalar(0, 255, 255));
//cv::imshow("Image0", textImg);
//cv::waitKey();
cv::Mat newImg(height, width, CV_8UC3, cv::Scalar::all(255));
SegmentFactory segFactory = SegmentFactory(0);
std::vector<Segment *> segments;
segFactory.makeSegments(grayImg, segments);
std::vector<Segment *>::iterator itr;
for (itr = segments.begin(); itr != segments.end(); itr++)
{
Segment *seg = *itr;
std::vector<SegmentLine *>::iterator itr_l;
for (itr_l = seg->m_lines.begin(); itr_l != seg->m_lines.end(); itr_l++)
{
SegmentLine *line = *itr_l;
cv::line(newImg, cv::Point(line->m_x1, line->m_y1), cv::Point(line->m_x2, line->m_y2), cv::Scalar(186,88,255), 1, CV_AA);
std::cout << line->m_x1 << ", " << line->m_y1 << ", " << line->m_x2 << ", " << line->m_y2 << std::endl;
}
}
//cv::imshow("Image0", newImg);
cv::imwrite("outimg_6.jpg", newImg);
//cv::waitKey();
textImg.setTo(cv::Scalar(255, 255, 255));
cv::putText(textImg, "Done.", cv::Point(550, 500), cv::FONT_HERSHEY_SIMPLEX, 1, cv::Scalar(0, 255, 255));
//cv::imshow("Image0", textImg);
//cv::waitKey();
return 0;
}
