image-analysis-util 0.1.3

Scientific image exploration software for multidimensional datasets.

image-analysis-util

Copyright (c) UChicago Argonne, LLC. All rights reserved.

Scientific image exploration software for 2D, 3D, and 4D datasets. A continuation of the Image_Analysis repository.

About

The image-analysis-util repository focuses on providing tools for users to explore and analyze their datasets. In constrast to Image_Analysis, the ultimate goal of image-analysis-util is to provide a generalized set of analysis features.

Built With

• h5py
• PyQt5
• pyqtgraph
• xarray

Getting Started

Prerequisites

• Python 3.7+
• Anaconda 3

Installation

PyPI Installation

pip install image-analysis-util

Conda Installation

1. Clone the repositiory.

   git clone https://github.com/henryjsmith12/image-analysis-util.git
   

2. Create an Anaconda virtual environment using environment.yml. The environment name can be altered in that file. By default, the virtual environment is named ia-util-venv.

   conda env create -f environment.yml
   

3. Activate the virtual environment.

   conda activate ia-util-venv
   

Screenshots

Roadmap

• Tutorial files for file creation/ImageTool
• File Exportation - The ideal goal will be to have exporting options for xarray DataArray objects, .iau files, and matplotlib plots.
• Performance improvements for slicing
• Extensive testing
• Pixel averaging (ROIs/Binning)

License

See LICENSE.txt for more information.

Author

Henry Smith - Co-op Student Technical at Argonne National Laboratory

Support

• Report bugs here
• Email author at [e-mail]