Unique features of ImageJ that other libraries cannot provide

xp1632 commented 5 months ago

We would like to find the unique features/functionalities that can only be achieved via ImageJ
Here's some initial thoughts:
Bio-Formats: many scientific and medical imaging formats such as DICOM, FITS, etc.). are supported in ImageJ
Multi-dimensional Image Processing: ImageJ/Fiji has strong support for multi-dimensional images (like time-lapse data, z-stacks, etc.). We need to keep in mind, with PyImaegJ's ij.py.show(), we can only show 2d images with matplotlib

Plugins for Specialized Tasks: There are many ImageJ/Fiji plugins for specialized image processing tasks. For example, the TrackMate plugin can be used for tracking objects over time in time-lapse images, and the Trainable Weka Segmentation plugin can be used for machine learning-based image segmentation. These plugins offer capabilities that are not available in many other libraries.
Macro Language and Scripting: ImageJ's macro language and scripting capabilities allow you to automate complex image processing tasks. You can write scripts in several languages including JavaScript, Python, and Groovy.

xp1632 commented 5 months ago

`tif` Image

ori_Pytorch does NOT support reading tif image, we can use a separate Python library: tifffile library to provide functionality for reading and writing TIFF files.
In OpenCV, wecan use the imread function to read TIFF images.
In scikit-image, TIFF images can be read using the skimage.io.imread function.

xp1632 commented 4 months ago

Thoughts: https://github.com/xp1632/DFKI_working_log/issues/30#issuecomment-1959272428

Conclusion:
No obvious unique features for ImageJ, but we can say we can say bridge things blabla

your research contributes to advancing the capabilities of material scientists by enabling them to leverage a wider range of software tools and techniques. By breaking down the barriers between different image processing platforms and integrating them into a unified workflow, you've empowered researchers to explore new avenues of inquiry and tackle more complex problems. Your work opens up possibilities for interdisciplinary research and paves the way for innovative solutions to challenges in materials science and beyond.

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