Image Algorithms 101

This repository helps you practice image algorithms and techniques.

Topics covered

• Adaptive Filters
• Coding and Compression
• Color Image Processing
• Graphics Algorithms
• Histogram Techniques
• Image Fundamentals
• Mensuration
• Morphological Filters
• Noise
• Nonlinear Filters
• Segmentation
• Spatial Filters
• Spatial Frequency Filters
• Storage Formats
• Transforms

Algorithms

Histograms Techniques

• Brightness
• Contrast

Steps to get started

1. Create a virtual env

   python -m venv env

   Activate the env

   .\env\Scripts\activate

2. Install dependencies

   pip install -r .\requirements.txt

3. Run main.py to generate files for all questions

   python .\main.py

4. Find your algorithm inside algorithms folder and under respective sub-folder. Complete the function and run to see the output.

   python -m algorithms.<class>.<algorithm>

   Replace <class> with the sub-folder name and <algorithm> with the name of the algorithm you opted for. Eg, class = histogram_techniques. algorithm = brightness The commad would be:

   python -m algorithms.histogram_techniques.brightness