slimage
Copyright 2012-2014 by David Weikersdorfer
slimage is a slim image library which provides a template image type for representing 2D images. slimage does not provide any computer vision functionality.
Features:
- slim -- does one thing and does it well
- type-safe -- strongly typed image / pixel / iterators
- iterators -- proper iterator interface to connect with STL functions like
<algorithm> - extendable -- can interface with OpenCV and QT
- header only -- no build required
- modern -- uses C++11 for elegant design
Code example:
#include <slimage/image.hpp>
// create image with size 320x240 and 3 unsigned byte channels
slimage::Image3ub img{320,240};
// set all pixels to black
std::fill(img.begin(), img.end(), {0,0,0});
// set pixel (15,10) to white
img(15,10) = {255,255,255};
// set the 398-th pixel, i.e. (1,78), to red
img[398] = {255,0,0};
// change only green channel for a pixel
img(3,4)[1] = 128;
// get a pixel
slimage::Pixel3ub col = img(3,4);
Code example -- OpenCV interface:
#include <opencv2/highgui/highgui.hpp>
#include <slimage/image.hpp>
#include <slimage/opencv.hpp>
// get a cv::Mat from OpenCV
cv::Mat mat = cv::imread("/tmp/test.jpg");
// convert OpenCV image to typed slimage image
auto aimg = slimage::ConvertToSlimage(mat);
if(!slimage::anonymous_is<unsigned char,3>(aimg)) {
// error image is not of desired type
}
slimage::Image3ub img = slimage::anonymous_cast<unsigned char,3>(aimg);
// do something
for(unsigned x=0; x<img.width(); x++) {
slimage::Pixel3ub col{0, (x * 16) % 255, (x * 8) % 255};
for(unsigned y=0; y<16; y++) {
img(x, y) = col;
}
}
// convert to OpenCV image and save
mat = slimage::ConvertToOpenCv(img);
cv::imwrite("/tmp/test.jpg", mat);