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Image Processing Algorithms

Introduction

A collection of image processing algorithms in Python.

Prerequisites

  • Python 3+
  • OpenCV

Installation

Simply clone/download this repository.

Run

  1. Choose the algorithm you want to run.
  2. Modify the parameters
  3. Simply run and get the result (in Python array)

Example

Let's say you want to run a template matching algorithm. Simply navigate to template_matching.py, create array for image and template:

image = [
    [4, 4, 4],
    [1, 2, 1]
]

template = [
    [1, 2, 1]
]

Then choose which type of matching you want:

print('non_normalized_correlation')
print(non_normalized_correlation(template, image))
print()
print('normalized_correlation')
print(normalized_correlation(template, image))

And get the results:

non_normalized_correlation
[[ 4 12 16 12  4]
 [ 1  4  6  4  1]]

normalized_correlation
[[1.         2.12132034 2.30940108 2.12132034 1.        ]
 [1.         1.78885438 2.44948974 1.78885438 1.        ]]

There are a lot of algorithms and more are still being added. Experiment with them however you like.