uranium-image-cleanup 1.0.0

Remove text/noise from grayscale uranium photos

Uranium Image Cleanup

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This package was developed to process grayscale uranium images in a specified directory to remove text/labels.

You should already have installed Python 2.7 - 4.0 with PIP. Python will need to be added as an environment variable.

On Window's start Command Prompt or PowerShell. On Linux open up a terminal.

To install:

    >>> pip install uranium-image-cleanup

Run on Windows:

Type "uic".

    >>> uic
    >>>
    >>> *** Uranium Image Cleanup  ***
    >>> Enter Image/s Retrieval Directory:

How to find the uic.exe on Windows:

In case you wanted to move it to the desktop for easy access.

    >>> where uic
    #Output: C:\Users\your_username\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.       9_qbz5n2kfra8p0\LocalCache\local-packages\Python39\Scripts\uic.exe
    >>>

Alternative way of running:

On Window's start Command Prompt or PowerShell. On Linux open up a terminal.

Run python.

    >>> python

Import the package then call main.

    >>> import uic_package as uic
    >>> 
    >>> uic.main()
    >>>
    >>> *** Uranium Image Cleanup  ***
    >>> Enter Image/s Retrieval Directory:

This package is also capable of:

• Removing text/noise on a single image of uranium.
• Detecting white pixels on a single image.

Below are examples on how to implement these.

Remove labels on a single image:

    >>> import uranium_image_cleanup_package as uic
    >>> import opencv as cv2
    >>>
    >>> image uranium_nucleus_10593520                  
    >>> result_image = uic.removeLabel(uranium_nucleus_10593520)

Detect white pixels on a single image:

    >>> import uranium_image_cleanup_package as uic
    >>> import opencv as cv2
    >>>
    >>> image uranium_nucleus_10593520                  
    >>> white_pixel_image = uic.detectWhite(img)

For more info and access to all the methods available, consult the removeLabel.py script found in the uic_package folder.

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