HistLib is a C++ histogram visualization and manipulation library built with OpenCV. This library provides the ability to create custom histograms, generate histograms from grayscale/color images, and apply value channel normalization using a set of simple functions.
Please see Samples on how to use this library.
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| Input | Histogram |
Version 0.3
- Switched to the CMake build system
- Refactored functions into an object oriented library
- Cleaner sample code
- Extensive commenting
Checkout or extract the source into `/code/opencv-histlib`
# Make a new build directory for the project mkdir ~/code/build/opencv-histlib cd ~/code/build/opencv-histlib # Initialize the CMake build environment cmake ~/code/opencv-histlib/ # Copy images to the build directory (required to run the sample code) cp -Rf ~/code/opencv-histlib/images ./ # Build and run the sample code make ./sample
The output from sample should look like this:
Created single channel histogram: ramp.hist.png Created value histogram: bars.value.hist.png Created BGR histogram: bars.rgb.hist.png Created value histogram: sunset.gray.hist.png Created BGR histogram: sunset.bgr.hist.png Created value histogram: fiveShadesLowContrast.value.hist.png Created value histogram: fiveShadesLowContrastNorm.value.hist.png Created normalized image: fiveShadesLowContrastNorm.png Created clipped image: fiveShadesLowContrastClipped.value.png Created value histogram: fiveShadesLowContrastClipped.value.hist.png Created value histogram: fiveShades.value.hist.png Created value histogram: fiveShadesNorm.value.hist.png