Alharbi, S. S., Sazak, Ç., Nelson, C. J. , Alhasson, H. F. and Obara, B. (2020) The multiscale top-hat tensor enables specific enhancement of curvilinear structures in 2D and 3D images. Methods, 173, pp. 3-15. (doi: 10.1016/j.ymeth.2019.05.025) (PMID:31176770)
Full text not currently available from Enlighten.
Abstract
Quantification and modelling of curvilinear structures in 2D and 3D images is a common challenge in a wide range of biomedical applications. Image enhancement is a crucial pre-processing step for curvilinear structure quantification. Many of the existing state-of-the-art enhancement approaches still suffer from contrast variations and noise. In this paper, we propose to address such problems via the use of a multiscale image processing approach, called Multiscale Top-Hat Tensor (MTHT). MTHT produces a better quality enhancement of curvilinear structures in low contrast and noisy images compared with other approaches in a range of 2D and 3D biomedical images. The proposed approach combines multiscale morphological filtering with a local tensor representation of curvilinear structure. The MTHT approach is validated on 2D and 3D synthetic and real images, and is also compared to the state-of-the-art curvilinear structure enhancement approaches. The obtained results demonstrate that the proposed approach provides high-quality curvilinear structure enhancement, allowing high accuracy segmentation and quantification in a wide range of 2D and 3D image datasets.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Nelson, Dr Chas |
| Authors: | Alharbi, S. S., Sazak, Ç., Nelson, C. J., Alhasson, H. F., and Obara, B. |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| College/School: | College of Science and Engineering > School of Physics and Astronomy |
| Research Group: | Imaging Concepts Group |
| Journal Name: | Methods |
| Publisher: | Elsevier |
| ISSN: | 1046-2023 |
| ISSN (Online): | 1095-9130 |
| Published Online: | 07 June 2019 |
University Staff: Request a correction | Enlighten Editors: Update this record
Funder and Project Information
Funder and Project Information