https://github.com/prodev717/non-invasive-anemia-detection
Comparative Study of Non-Invasive Anemia Detection: RGB Analysis of Anterior Conjunctiva versus CIELAB Features from Palm Images using Artificial Neural Networks
https://github.com/prodev717/non-invasive-anemia-detection
Last synced: about 1 month ago
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Comparative Study of Non-Invasive Anemia Detection: RGB Analysis of Anterior Conjunctiva versus CIELAB Features from Palm Images using Artificial Neural Networks
- Host: GitHub
- URL: https://github.com/prodev717/non-invasive-anemia-detection
- Owner: prodev717
- Created: 2026-06-07T13:40:13.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2026-06-07T13:45:15.000Z (about 1 month ago)
- Last Synced: 2026-06-07T15:21:48.143Z (about 1 month ago)
- Size: 457 KB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Comparative Study of Non-Invasive Anemia Detection: RGB Analysis of Anterior Conjunctiva versus CIELAB Features from Palm Images using Artificial Neural Networks
This project presents a comparative study of two non-invasive anemia detection approaches using image processing and Artificial Neural Networks (ANN).
## Methods Compared
* **Anterior Conjunctiva RGB Analysis**
* Extracts mean RGB values from eye conjunctiva images.
* Uses ANN for binary anemia classification.
* **Palm Image CIELAB Analysis**
* Converts palm images to CIELAB color space.
* Uses mean L*, a*, and b* values as features.
* Uses the same ANN architecture for fair comparison.
## Results
| Method | Accuracy |
| --------------- | -------- |
| Conjunctiva RGB | 81% |
| Palm CIELAB | 93% |
The palm-based CIELAB approach achieved better performance and showed greater robustness for non-invasive anemia screening.
## Authors
Ganesh M, Manjiswari J, Komali Priya P, Saladi Saritha, Yepuganti Karuna
## Paper
The complete research paper is available in this repository.