Adaptive enhancement of shoulder x-ray images using tissue attenuation and type-II fuzzy sets.
Shoulder X-ray images typically have low contrast and high noise levels, making it challenging to distinguish and identify subtle anatomical structures. While existing image enhancement techniques are effective in improving contrast, they often overlook the enhancement of sharpness, especially when...
Saved in:
Main Authors: | Qifeng Liu, Yong Han, Lu Shen, Jialei Du, Marzia Hoque Tania |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2025-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0316585 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Artificial intelligence for chest X-ray image enhancement
by: Liming Song, et al.
Published: (2025-02-01) -
New Jensen–Shannon divergence measures for intuitionistic fuzzy sets with the construction of a parametric intuitionistic fuzzy TOPSIS
by: Xinxing Wu, et al.
Published: (2025-01-01) -
Evaluation Effective Dose for Patients Undergoing Dental X-Ray Examination
by: Edrees M. Tahir Nury, et al.
Published: (2018-12-01) -
High Energy X-Ray Detection by MicroPattern Gaseous Detector
by: Saeedeh Khezripour, et al.
Published: (2025-01-01) -
Nanocarbons Reinforcement Effect into Polyethylene Nanocomposites: γ‑Ray Attenuation Potential and Hardness Improvement by the Taguchi Method
by: Thais Cardoso Oliveira, et al.
Published: (2025-01-01)