The Evolution of Image Segmentation from Classical Techniques to Deep Learning: A Survey

Moteaal Asadi Shirzi, Mehrdad R. Kermani

Open source

DOI
10.3390/robotics15090169
Published
2026-09-03
Container
Robotics
Publisher
MDPI AG
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3390/robotics15090169,
  title = {The Evolution of Image Segmentation from Classical Techniques to Deep Learning: A Survey},
  author = {Moteaal Asadi Shirzi and Mehrdad R. Kermani},
  year = {2026},
  journal = {Robotics},
  doi = {10.3390/robotics15090169},
  url = {https://doi.org/10.3390/robotics15090169}
}

RIS

TY  - JOUR
TI  - The Evolution of Image Segmentation from Classical Techniques to Deep Learning: A Survey
AU  - Moteaal Asadi Shirzi
AU  - Mehrdad R. Kermani
PY  - 2026
JO  - Robotics
DO  - 10.3390/robotics15090169
UR  - https://doi.org/10.3390/robotics15090169
ER  - 

APA

Shirzi, M. A., & Kermani, M. R. (2026). The Evolution of Image Segmentation from Classical Techniques to Deep Learning: A Survey. Robotics. https://doi.org/10.3390/robotics15090169

Source records