kotai2003 / finetheai_equilize

Image Histogram Equalization Project

Overview

This project includes a Python script that searches for image files within a specified directory, applies histogram equalization to enhance their contrast, and saves the modified images in a new subdirectory. It automates image processing tasks and helps in improving the contrast of images.

Setup

Before running this script, ensure that you have a Python environment set up and the required libraries installed.

To install the necessary library, run the following command:

Usage

1. Download the script.
2. Set the test_dir variable in the list_full_paths_in_subfolders function to the path of your target directory.
3. Execute the script.

Upon execution, the script will search for all image files in the specified directory, equalize their histograms, and save them in a subfolder named equilized_hist.

Code Explanation

• The list_full_paths_in_subfolders function searches for the paths of image files within the specified directory and returns a list of these paths.
• The script loads each image file in grayscale and uses the cv2.equalizeHist function to equalize its histogram.
• The equalized images are saved in a new subfolder named equilized_hist, located in the same directory as the original images.

License

MIT License

Contributing

If you are interested in contributing to this project, please submit a pull request or report any issues.