| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5031809 | IRBM | 2017 | 11 Pages |
Abstract
- A robust specularity detection algorithm for digital cervix images is proposed.
- Cervix region segmentation using curvilinear structure enhancement is proposed.
- Effectiveness of the algorithm is demonstrated through experimental results.
- Compared the proposed method with the state of the art algorithms.
Related Topics
Physical Sciences and Engineering
Engineering
Biomedical Engineering
Authors
V. Kudva, K. Prasad, S. Guruvare,