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2020-03-23 11:14:05 -0500 answered a question Type issues

The first thing you have to keep in mind is that you have to separate the "image" from your "data". You will use the "im

2020-03-23 10:43:27 -0500 edited answer using -l in g++ command line

Add this `pkg-config --libs --cflags opencv` (OpenCV 2.x and 3.x) or `pkg-config --libs --cflags opencv4` -std=c++11 (

2020-03-23 10:42:45 -0500 received badge  Editor (source)
2020-03-23 10:42:45 -0500 edited answer using -l in g++ command line

Add this `pkg-config --libs --cflags opencv` (OpenCV 2.x and 3.x) and `pkg-config --libs --cflags opencv4` -std=c++11

2020-03-23 10:40:05 -0500 answered a question using -l in g++ command line

Add this `pkg-config --libs --cflags opencv` -std=c++11 to your compilation line and you will have everything you need t

2020-03-23 10:03:04 -0500 answered a question How can i improve quality of this receipt

Here you have a good example and explanation of dewarping: Ther

2020-03-23 09:49:58 -0500 answered a question OpenCV Best way to match the spot patterns

In the example image you shared, I can see a picture with a lot of "noise". If you try to find features in this image yo

2020-02-11 06:35:40 -0500 commented answer Development environment and process for small devices like Pi Zero W

Yes, if you design your code with modules or objects in mind, then you will have a camera and whoever uses the image in

2020-02-10 10:04:03 -0500 answered a question Highlight areas with different colour that the area that surround them

You could use image thresholding to highlight the brightest areas, to begin with. Then, some heuristics to determine an

2015-03-06 02:04:29 -0500 answered a question Mat img = imread(..) vs img = imread(..)

In the code that gives you an error, img is defined within the scope of that variable?

2015-02-27 01:21:56 -0500 received badge  Enthusiast