本文整理汇总了C++中ImageRGB::pixel_R方法的典型用法代码示例。如果您正苦于以下问题：C++ ImageRGB::pixel_R方法的具体用法？C++ ImageRGB::pixel_R怎么用？C++ ImageRGB::pixel_R使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类ImageRGB的用法示例。
在下文中一共展示了ImageRGB::pixel_R方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: CC
bool CC(std::vector<CCStats> &ccstats, const ImageGray<BYTE> &imgbi, ImageRGB<BYTE> &imgFeedback)
{
ImageGray<BYTE> img_copy(imgbi);
std::vector<Pixel> firstPixels;
double meansize = 0;
for (int i = 0; i < imgbi.xsize(); i++) {
for (int j = 0; j < imgbi.ysize(); j++) {
std::vector<Pixel> ccC;
CCStats stats;
int npix = extract_cc_(Pixel(i, j), ccC, img_copy);
if (npix > 180) {
extract_CCStats(ccC, stats, imgbi);
double compactness = 4*PI*stats.nPoints / (stats.perimeter*stats.perimeter);
// !!compactness < 1.3 is not a good limit! I changed to 1.5 -Leman
if (std::min(stats.radius1,
stats.radius2) > 8 && compactness < 1.5 && compactness > 0.7) {
ccstats.push_back(stats);
firstPixels.push_back(Pixel(i, j));
meansize += stats.nPoints;
// draw Feedback
for (int k = 0; k < ccC.size(); ++k) {
Pixel p = ccC[k];
// black means detected
imgFeedback.pixel_R(p.x, p.y) = 0;
imgFeedback.pixel_G(p.x, p.y) = 0;
imgFeedback.pixel_B(p.x, p.y) = 0;
}
} else {
// draw Feedback
for (int k = 0; k < ccC.size(); ++k) {
Pixel p = ccC[k];
// red means it's not a circle
imgFeedback.pixel_R(p.x, p.y) = 150;
imgFeedback.pixel_G(p.x, p.y) = 0;
imgFeedback.pixel_B(p.x, p.y) = 0;
}
}
} else {
// draw Feedback
for (int k = 0; k < ccC.size(); ++k) {
Pixel p = ccC[k];
// green means it's too small
imgFeedback.pixel_R(p.x, p.y) = 0;
imgFeedback.pixel_G(p.x, p.y) = 150;
imgFeedback.pixel_B(p.x, p.y) = 0;
}
}
}
double percent = ((double)i / (double)imgbi.xsize())*100;
if (!(i % (int)(0.2*imgbi.xsize()+1)))
libMsg::cout<<(int)(percent+1)<<'%'<<libMsg::flush;
else if (!(i % (int)(0.04*imgbi.xsize()+1)))
libMsg::cout<<'.'<<libMsg::flush;
}
libMsg::cout<<libMsg::endl;
if (ccstats.size() == 0) {
libMsg::cout<<"Nothing interesting found in this image. Please check.";
return false;
}
// retrieve min_size and max_size to build a size histogram
int max_val = 0;
int rad_thre = 7;
for (int i = 0; i < ccstats.size(); i++) {
if (ccstats[i].nPoints > max_val)
max_val = ccstats[i].nPoints;
}
std::vector<int> hist(max_val);
std::vector<std::stack<int> > hist_stack(max_val); // to keep indeces of all the circles for given size
// run through all the sizes and build frequency histogram
for (int i = 0; i < ccstats.size(); i++) {
int val = ccstats[i].nPoints-1;
hist[val]++;
hist_stack[val].push(i);
}
meansize /= ccstats.size();
int commonsize = meansize;
libMsg::cout<<"Average area of region: "<<meansize<<" pixels"<<libMsg::endl;
libMsg::cout<<"Max area of region: "<<max_val<<" pixels"<<libMsg::endl;
libMsg::cout<<"Region found before filter: [ "<<ccstats.size()<<" ]"<<libMsg::endl;
/*
* frequency
* ^
* |
* |
* | |
* | | | larger than zerogap
* | | | so we ignore A and B
* | <---> | ||||| | | <--------------->
* | A | | ||||| || | | B
* ----------------------------------------------------> size
* 0 ^ 10000
* |
* average size
* negative <---- ----> positive
* direction direction
*/
// collect the inliers in positive direction from commonsize idx
//.........这里部分代码省略.........