/* 按连通域分割图像
* image 图像数据
* i 寻找第一个不为0的点时寻找起始点所在行（寻找方向从左向右，从上向下）
* j 寻找第一个不为0的点时寻找起始点所在列（寻找方向从左向右，从上向下）
* imgSpArr 分离出的连通域数组
*/
void splitImage(IplImage* image, int i, int j, ImageSplitArray* imgSpArr)
{
int ii, ji;
for(ii=i; ii<image->height; ii++)
{
for(ji=j; ji<image->width; ji++)
{
if(image->imageData[ii*image->widthStep+ji] != 0)
break;
}
j=0;
if(ji < image->width && image->imageData[ii*image->widthStep+ji] != 0)
break;
}
if(ii<image->height && ji<image->width)
{
PointsArray poiArr = {64, 0, (int(*)[2]) malloc (64*sizeof(int[2])), image->height, image->width, 0, 0}; //点(i,j)8邻域中的非零点所在行和列
PointsArray* ijs = &poiArr;
ijs->pointArray[ijs->count][0] = ii;
ijs->pointArray[ijs->count][1] = ji;
image->imageData[ii*image->widthStep+ji] = 0;
ijs->minI > ijs->pointArray[ijs->count][0] ? ijs->minI = ijs->pointArray[ijs->count][0] : ijs->minI = ijs->minI;
ijs->minJ > ijs->pointArray[ijs->count][1] ? ijs->minJ = ijs->pointArray[ijs->count][1] : ijs->minJ = ijs->minJ;
ijs->maxI < ijs->pointArray[ijs->count][0] ? ijs->maxI = ijs->pointArray[ijs->count][0] : ijs->maxI = ijs->maxI;
ijs->maxJ < ijs->pointArray[ijs->count][1] ? ijs->maxJ = ijs->pointArray[ijs->count][1] : ijs->maxJ = ijs->maxJ;
++(ijs->count);
findConnection(image, ijs, ii, ji);
/*****如果imgSpArr内存不够，则将结构体数组长度+10*****/
if(imgSpArr->count >= imgSpArr->length)
{
imgSpArr->length += 10;
ImageCon* tempImgCons = (ImageCon*)malloc(sizeof(ImageCon) * imgSpArr->length);
for(int m=0; m<imgSpArr->count; m++)
{
ImageCon tempImgCon = {cvCreateImage(cvGetSize(imgSpArr->imgCons[m].img), imgSpArr->imgCons[m].img->depth, imgSpArr->imgCons[m].img->nChannels), imgSpArr->imgCons[m].minI, imgSpArr->imgCons[m].minJ, imgSpArr->imgCons[m].maxI, imgSpArr->imgCons[m].maxJ, imgSpArr->imgCons[m].aspectRatio, 0, 0};
tempImgCons[m] = tempImgCon;
cvCopy(imgSpArr->imgCons[m].img, tempImgCons[m].img, NULL);
cvReleaseImage(&(imgSpArr->imgCons[m].img));
}
free(imgSpArr->imgCons);
imgSpArr->imgCons = tempImgCons;
}
//imagesSplit[imagesSplit->count] = cvCreateImage(cvSize(image->width,image->height), image->depth, image->nChannels);
ImageCon imgCon = {cvCreateImage(cvSize(ijs->maxJ-ijs->minJ+1, ijs->maxI-ijs->minI+1), image->depth, image->nChannels), ijs->minI, ijs->minJ, ijs->maxI, ijs->maxJ, 0.0f, 0, 0};
imgSpArr->imgCons[imgSpArr->count] = imgCon;
cvZero(imgSpArr->imgCons[imgSpArr->count].img);
imgSpArr->imgCons[imgSpArr->count].aspectRatio = (float)(ijs->maxI-ijs->minI+1) / (float)(ijs->maxJ-ijs->minJ+1);
for(int m=0; m<ijs->count; m++)
imgSpArr->imgCons[imgSpArr->count].img->imageData[(ijs->pointArray[m][0]-ijs->minI)*imgSpArr->imgCons[imgSpArr->count].img->widthStep+(ijs->pointArray[m][1]-ijs->minJ)] = (char)255;
(imgSpArr->count)++;
free(ijs->pointArray);
//(*foregroundCounts)-=ijs->count;
splitImage(image, ii, ji, imgSpArr);
}
}
StatWidget::StatWidget(const Game& rb):
iRow(0),
rb(rb) {
setupUi(this);
QImage wset( ":/setwhite.png" );
splitImage( wPieces, wset );
QImage bset( ":/setblack.png" );
splitImage( bPieces, bset );
QFont fixed;
fixed.setFamily("Consolas");
bestLine->setFont(fixed);
for (int i=0; i<256; i++) {
pal[i] = QColor::fromHsvF(std::fmod(1.3-i/300.0, 1.0), 1.0, 1.0); }
minipm[0][Rook] = ww1;
minipm[0][Bishop] = ww2;
minipm[0][Queen] = ww3;
minipm[0][Knight] = ww4;
minipm[0][Pawn] = ww5;
minipm[0][King] = ww6;
minipm[1][Rook] = wb1;
minipm[1][Bishop] = wb2;
minipm[1][Queen] = wb3;
minipm[1][Knight] = wb4;
minipm[1][Pawn] = wb5;
minipm[1][King] = wb6;
tree = new NodeModel(this);
treeView->setModel( tree );
NodeDelegate* delegate = new NodeDelegate;
treeView->setItemDelegate( delegate );
QTimer* t = new QTimer(this);
connect(t, SIGNAL(timeout()), this, SLOT(update()));
qRegisterMetaType<uint64_t>("uint64_t");
connect(&rb, SIGNAL(signalInfo(int, uint64_t, uint64_t, QString, QString)),
this, SLOT (updateInfo(int, uint64_t, uint64_t, QString, QString)));
t->setInterval(1000);
t->start(); }
/*
img input image
return output image
*/
Mat Dip1::doSomethingThatMyTutorIsGonnaLike(Mat& img){
Mat newImg = img.clone();
splitImage(newImg, 0);
splitImage(newImg, 3);
//increase image contrast
/// Do the operation new_image(i,j) = alpha*image(i,j) + beta
float alpha = 1.2;
int beta = 50;
for( int y = 0; y < newImg.rows; y++ ){
for( int x = 0; x < newImg.cols; x++ ){
for( int c = 0; c < 3; c++ ){
newImg.at<Vec3b>(y,x)[c] = saturate_cast<uchar>( alpha*( newImg.at<Vec3b>(y,x)[c] ) + beta );
}
}
}
return newImg;
}
int main()
{
QString folder("C:\\Users\\Gigotdarnaud\\Desktop\\CircleTexturesHD");
QString outFolder("C:\\Users\\Gigotdarnaud\\Desktop\\CircleTexturesHD\\OUT");
QDir dir (folder);
QStringList filters; filters << "*.bmp" << "*.png" << "*.jpg" << "*.tiff";
QStringList ls=dir.entryList(filters, QDir::Files|QDir::NoDotAndDotDot);
QFile file(outFolder+'/'+"filelist.list");
file.open(QIODevice::WriteOnly|QIODevice::Text);
QTextStream tstr(&file);
int c=0;
for(int i=0, m=ls.size();i<m;++i)
{
c+=splitImage(folder+'/'+ls[i], outFolder, tstr,c);
}
return 0;
}
