Hessian-based specular reflection detection in endoscopy images
Project description
Overview
This is a re-implementation of a Hessian-guided specular reflection detection method in HSV color space, originally described in IEEE JBHI (2024).
Method
- HSV conversion
- S-channel smoothing
- Hessian eigenvalue analysis
- Photometric constraints (S, V thresholds)
- Binary mask output
Reference
If you use this package, please cite:
ElKarazle, K., Raman, V., Chua, C., Then, P. "A Hessian-Based Technique for Specular Reflection Detection and Inpainting in Colonoscopy Images" IEEE Journal of Biomedical and Health Informatics, 2024. DOI: 10.1109/JBHI.2024.3404955
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