2020-03-23 11:14:05 -0600 | 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 -0600 | 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 -0600 | received badge | ● Editor (source) |
2020-03-23 10:42:45 -0600 | 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 -0600 | 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 -0600 | answered a question | How can i improve quality of this receipt Here you have a good example and explanation of dewarping: https://mzucker.github.io/2016/08/15/page-dewarping.html Ther |
2020-03-23 09:49:58 -0600 | 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 -0600 | 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 -0600 | 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 -0600 | 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? |
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