galino_gonzales_p-system-simulator
Python Implementation of a Single Celled P-system for the Guo-Hall Skeletonization Algorithm
https://github.com/koniiro/galino_gonzales_p-system-simulator
Science Score: 67.0%
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Repository
Python Implementation of a Single Celled P-system for the Guo-Hall Skeletonization Algorithm
Basic Info
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- Stars: 1
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- Releases: 1
Metadata Files
README.md
GalinoGonzalesP-system-simulator
This simulator is a Python implementation of the Single Cell P-system proposed by Radu Nicolescu in Parallel Thinning With Complex Objects and Actors in 2014. This model is one of three proposed membrane computing models of the Guo-Hall Skeletonization
Algorithm in the same paper.
The program primarily consists of three files:
1. SCP System G_H Implementation.py - Primary Implementation File
2. neighbor_gen_module.py - Calculates the coordinates of the neighbors of a specified cell
3. rule_module.py - Implementation of Rules described in Nicolescu 2014
Installation
It is recommended to use a virtual environment for installing dependencies. You can create a virtual
environment using the following command.
python
python -m venv .venv
source .venv/bin/activate
This project needs numpy and pillow. You may install them using the following command:
python
pip install numpy pillow
Usage
To run the project, just run SCP_System-G_H-Implementation.py. It requires several arguments.
python
python SCP_System-G_H-Implementation.py <path> -t <threshold> <-n>
- path - Path to the image to be skeletonized. Required
- -t <threshold> - The threshold for binarization. Must be from 0 to 255. Optional, defauts to 127
- -n - Add this flag if the inverse of the image will be skeletonized. Optional.
How to setup experiments
- Test Case 3
Get the image at https://drive.google.com/file/d/1FI0KbZYQwI6UBn-FpoeVZPv64TipWNzX/view?usp=sharing.
You can run the skeletonization using the following command.
python python SCP_System-G_H-Implementation.py <path to image> -t 100 # for normal python SCP_System-G_H-Implementation.py <path to image> -t 100 -n # for inversed
Multiprocessed Version
The multiprocess version of the project can be found at the multiProc4Segment branch
of the repository.
Authors
References
- Nicolescu, R. (2014). Parallel Thinning with Complex Objects and Actors. In: Gheorghe, M., Rozenberg, G., Salomaa, A., Sosík, P., Zandron, C. (eds) Membrane Computing. CMC 2014. Lecture Notes in Computer Science(), vol 8961. Springer, Cham. https://doi.org/10.1007/978-3-319-14370-5_21
Owner
- Login: Koniiro
- Kind: user
- Location: Milkyway Galaxy
- Company: University of the Philippines - Diliman
- Repositories: 2
- Profile: https://github.com/Koniiro
2nd Year BS CompSci student
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: ' Galino_Gonzales_P-system-simulator '
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: John Henry
family-names: Galino
email: jagalino@up.edu.ph
affiliation: University of the Philippines Diliman
- given-names: Isaiah Nikolo
family-names: Gonzales
email: iagonzales1@up.edu.ph
affiliation: University of the Philippines Diliman
repository-code: >-
https://github.com/Koniiro/Galino_Gonzales_P-system-simulator
license: 0BSD
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Last Year
- Push event: 31
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- Pull request event: 2
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