IMSIS is an open source image analysis package in Python. The library contains functions to quickly create simple dialog-based scripts, fast image processing sequences, and perform basic image analysis. The package relies on powerful libraries such as Numpy, Scipy, OpenCV, and PySide6.
Typical applications would be:
- Dialog-based scripts where syntax editing is replaced by runtime dialogs (input dialogs, warnings, property lists, radio button lists, text dialogs, etc.)
- Dialog-based feature selection (spots, lines, rectangles, etc.)
- Fast multi-image viewing with or without histograms
- Image batch processing (sharpening, denoising, morphological operations, color operations, image conversion, etc.)
- Image analysis (finding unique features, line profiles, counting features, image alignment, image comparisons, image sharpness)
- Image filtering in Fourier space
- Fast image processing for machine learning data
As in requirements file. Python > 3.5
IMSIS Documentation building requires the following additional packages:
- sphinx 5.3.0 (Python 3.10)
- sphinx_rtd_theme 1.1.1 (Python 3.10)
- rinohtype 0.5.4 (Python 3.10)
Documentation can be automatically generated with python build_docs.py.
To install IMSIS, run the following commands:
python setup.py sdist bdist_wheel
pip install dist\imsis-1.0-py3-none-any.whlThis project is licensed under the MIT License - see the LICENSE file for details.
A simple example of loading and displaying an image
import imsis as ims
fn = r".\images\bberry.jpg"
im_blueberry = ims.Image.load(fn)
ims.View.plot(im_blueberry,title="Blueberry",window_title="Plot")
A list of examples of every method implemented can be found in the examples folder.
Some more can be found below:
