Segmentation vessel in Fundus with Isotropic Undecimated Wavelet Transform (IUWT) and Fuzzy Hysteresis Thresholding (FHT)

Putri Nur Rahayu, Asti Riani Putri

Abstract


Segmentation of blood vessels in fundus can  used to detect diabetic retinopathy disease by looking at the characteristic of blood vessel characteristic of thin and thick blood vessels. In this research, the combination of isotropic undecimated wavelet transform (IUWT) and Fuzzy hysteresis thresholding (FHT) are used for blood vessel segmentation to segmented for thin and thick vessels . In this research Accuracy value 0.95, precision 0.88, TPR 0.62, FPR 0.008.

Keywords: fuzzy, hysteresis thresholding, isotropic undecimated wavelet transform, segmentation vessel.


Full Text:

PDF

References


BahadarKhan, K., Khaliq, A. A., & Shahid, M. (2016). A morphological hessian based approach for retinal blood vessels segmentation and denoising using region based otsu thresholding. PLoS ONE, 11(7), 1–19. https://doi.org/10.1371/journal.pone.0158996

Tagore, M. R. N., Kande, G. B., Rao, E. V. K., & Rao, B. P. (2013). Segmentation of retinal vasculature using phase congruency and hierarchical clustering. Proceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013, 361–366. https://doi.org/10.1109/ICACCI.2013.6637198

Mapayi, T., Viriri, S., & Tapamo, J. (2015). Comparative Study of Retinal Vessel Segmentation Based on Global Thresholding Techniques, 2015.

Nazari, P., & Pourghassem, H. (2013). An automated vessel segmentation algorithm in retinal images using 2D Gabor wavelet. 2013 8th Iranian Conference on Machine Vision and Image Processing (MVIP), 145–149. https://doi.org/10.1109/IranianMVIP.2013.6779967

Roychowdhury, S., Koozekanani, D. D., & Parhi, K. K. (2015). Iterative Vessel Segmentation of Fundus Images. IEEE Transactions on Biomedical Engineering, 62(7), 1738–1749. https://doi.org/10.1109/TBME.2015.2403295

Sabilla, W. I., Soelaiman, R., & Fatichah, C. (2015). Automatic Detection of Proliferative Diabetic Retinopathy with Hybrid Feature Extraction Based on Scale Space Analysis and Tracking, 95–96.

Chia kang, Chung., June Wang, Wen., Hao Kang, Chung. (2012). Image segmentation with complicated background by using seeded region growing.Sciencedirect on AEU, 767-771.

Starck, Jean-Luc., Fadili, Jalal., and Murtagh, Fionn. (2007). The Undecimated wavelet Decomposition and its reconstruction. IEEE Transaction on Image processing, Vol.16,No.2, February 2007.




DOI: https://doi.org/10.12962/j25796216.v3.i1.71

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.