Metadata-Version: 2.4
Name: endoscopy_specular
Version: 0.1.0
Summary: Hessian-based specular reflection detection in endoscopy images
Author: Khaled ELKarazle
Project-URL: Homepage, https://github.com/KhaledELKarazle97/endoscopy-specular
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: opencv-python
Dynamic: license-file

## 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
