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Mateusz Łoskot edited this page Jan 17, 2020 · 8 revisions

Google Summer of Code 2019

https://github.com/boostorg/boost/wiki/Google-Summer-of-Code%3A-2019

Proposal submitted by Miral Shah

Status: Implemented by Miral Shah as Image Processing Algorithms project.

Boost.GIL provides core features for images. But at the current point, it does not have a lot of mainstream image processing algorithms which are used regularly. Here I am proposing to implement different image processing algorithms for Boost.GIL by using existing features of the GIL or using its extensions.

1. Thresholding

  • Simple Thresholding
  • Adaptive Thresholding

2. Mathematical Morphology

  • Dilation
  • Erosion
  • Blurring / Smoothing
  • Sharpening

3. Normalizing Channels

4. De-Noising

  • Wiener filter
  • Average filter
  • Median filter

5. Convolutions

  • Kernels
  • Transformation

6. Integrating FFT

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