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Fundamentals of Computer Vision

This project is developed in Python + OpenCV for implementing some techinques of image processing and feature extraction algorithms.

Outline

01 Image Fundamentals

  • Geometric Transformations(e.g. rotation, image stitching)
  • Histogram Equalization
  • Interpolation

02 Contrast Adjustment

  • Image Adjusting
  • Histogram Equalization
  • Local Histogram Equalization(LHE)

03 Filters

  • Box Filter
  • Median Filter
  • Noises(e.g. salt-and-pepper, gaussian)
  • Sharpening, Blurring and Noise Removal
  • Edge Detection(first-order difference, robert, sobel)
  • Unsharp Masking

04 Frequency Domain

  • Discrete Fourier Transform(DFT)
  • Separable Filters
  • Filtering

05 Color

  • Color Spaces(e.g. RGB, HSI)
  • Quantization
  • Clustering

06 Wavelet

  • Discrete Wavelet Transform(DWT)
  • Multi-level DWT
  • Approximation & Prediction Residual Pyramids
  • Denoising with Wavelet

07 Features

  • Estimate Geometry
  • Corner Detection(with Harris algorithm)

Environment

  • Python: 3.9
  • OpenCV: 4.5
  • Numpy: 1.22
  • Pandas: 1.3
  • Matplotlib: 3.4
  • Scikit-image: 0.18
  • PyWavelets: 1.2

Setup Guide

  • Clone the repository:
git clone https://github.com/mohsenMahmoodzadeh/image-processing-basic-methods.git
  • Set up Git-LFS:
# install the package
apt-get install git-lfs

# initialize it on the project
git lfs install

# modify the git config not to download large files at first 
git config --global filter.lfs.smudge "git-lfs smudge --skip -- %f"
git config --global filter.lfs.process "git-lfs filter-process --skip"

# pull the large files into the project
git lfs pull
  • Create a virtual environment (to avoid conflicts):
virtualenv -p python3.9 fcv

# this may vary depending on your shell
. fcv/bin/activate

Install the dependencies:

pip install -r requirements.txt

If you want to work on jupyter notebook, you may need to set up a kernel on your virtual environment to make sure all your modules execute correctly.

python -m ipykernel install --name fcvkernel

# Now you get a kernel named `fcvkernel` in your jupyter notebook

Future Works

Contributing

Fixes and improvements are more than welcome, so raise an issue or send a PR!