Releases: tsipkens/atems
v1.3
The program performs an analysis of TEM images to determine aggregate properties, with a focus on characterizing soot.
This release is associated with the final version of a paper in the Journal of Open Source Software (JOSS), documenting the current state and history of the repository.
v1.2
v1.1
The program performs an analysis of TEM images to determine aggregate properties, with a focus on characterizing soot.
This release is associated with an article accepted for publication in Powder Technology (https://doi.org/10.1016/j.powtec.2021.04.026) adding support for a trained convolutional neural network. This release also includes minor fixes and minor feature updates (e.g., the addition of the textdone function).
v1.0
The program performs an analysis of TEM images to determine aggregate properties, with a focus on characterizing soot.
This release is the first full release featuring a complete k-means segmentation code and an EDM-SBS code. This release is associated with a technical note submitted to the Journal of Aerosol Science.
v0.4
The program performs an analysis of TEM images to determine aggregate properties, with a focus on characterizing soot.
This November 2019 release containing significant optimizations, bug fixes, and updates to the file naming convention. Aggregate segmentation methods are included in a single +agg package, while a range of primary particle analysis methods are now also included in a single +pp package. Functions relevant to only one method are now combined as subfunctions in the corresponding function, streamlining the file structure. Additional options are provided to save data produced by the program.
v0.3
A July 2019 release before making additional changes to the code across multiple users. The current update incorporates considerable changes to the structure and formatting of the code. This includes updates to how the data is stored, unifying the thresholding UI to a package that is called across multiple methods, and restructuring and unifying the file and folder naming scheme and structure.
v0.2
Initial GitHub release with working PCM and Kook codes featuring no technical changes from the versions used by previous students. The code is updated to (i) remove cd calls that frequently change the working folder, (ii) organize the standard Kook and PCM codes into packages called by a "process" method, (iii) updated to read pixel size from text in the footer of the images, and (iv) generated a tools package that will have functions that are common to multiple approaches to image processing. The current main script will run both PCM and Kook code, outputting results to an Excel file.