tf-image-processing 0.0.1

modules for transforming images and its colors through a histogram reference

TF Image Processing

Description

The package package_name is used to:

• Processing:
  • Histogram matching
  • Structural similarity
  • Resize image
• Utils:
  • Read image
  • Save image
  • Plot image
  • Plot result
  • Plot histogram

Installation

Use the package manager pip to install tf_image_processing

pip install tf-image-processing

Usage

For Histogram Matching

1. Import the modules to open, read, plot, and save the imagens you need to combine as well as the combination module:

from tf_image_processing.utils import io, plot
from tf_image_processing.processing import combination

2. Get both images' paths:

   • a base image which is going to be modified
   • the reference image to get the histogram to be applied on the base image

   It is easier if you store their paths in two variables, like the example below:

image_1_path = io.read_image(image_1_path)
image_2_path = io.read_image(image_2_path)

3. Combine the images using the transfer_histogram passing as its arguments the base image (image_1), and the histogram reference image(image_2), storing it in a variable (result_image):

result_image = combination.transfer_histogram(image_1, image_2)

4. You can plot the results in two diferent ways:

   • Comparing the three images using the plot_result and passing the images as the arguments:

      plot.plot_result(image_1, image_2, result_image)
     

     

   • Ploting only the result image with the plot_image:

      plot.plot_image(result_image)
     

     

5. Finally you can save the result_image using the io.save_image, passing the result image and the path to where you want to save it.

   result_img_path = "./image-processing-package/result_image.jpg"
   io.save_image(result_image, result_image)
   

Author

Thiago Ferrari

License

MIT