Segmentasi Pembuluh Darah Retina Menggunakan Local Adaptive Thresholding
Abstract
Keywords
Full Text:
PDFReferences
C. G. Owen and S. A. Barman, “Blood vessel segmentation methodologies in retinal images – A survey,” Comput. Methods Programs Biomed., vol. 108, no. 1, pp. 407–433, 2012.
N. M. Zaitoun and M. J. Aqel, “Survey on Image Segmentation Techniques,” Procedia - Procedia Comput. Sci., vol. 65, no. Iccmit, pp. 797–806, 2015.
X. Jiang, I. C. Society, and D. Mojon, “Adaptive Local Thresholding by Verification-Based Multithreshold Probing with Application to Vessel Detection in Retinal Images æ,” vol. 25, no. 1, pp. 131–137, 2003.
D. Sutaji, C. Fatichah, and A. Navastara, “Segmentasi Pembuluh Darah Retina Pada Citra Fundus Menggunakan Gradient Based Adaptive Thresholding Dan Region Growing,” vol. 2, pp. 105–116, 2016.
N. Dey, A. B. Roy, M. Pal, A. Das, W. Bengal, W. Bengal, W. Bengal, and W. Bengal, “FCM Based Blood Vessel,” vol. 1, no. 3, pp. 1–5, 2012.
T. Mapayi, S. Viriri, and J. Tapamo, “Adaptive Thresholding Technique for Retinal Vessel Segmentation Based on GLCM-Energy Information,” vol. 2015, 2015.
L. Xu and S. Luo, “A novel method for blood vessel detection from retinal images,” pp. 1–10, 2010.
N. Phansalkar, “Adaptive Local Thresholding for Detection of Nuclei in Diversely Stained Cytology Images.”
Erwin, Saparudin, and W. Saputri, “New Hybrid Multilevel Thresholding and Improved Harmony Search Algorithm for Image Segmentation,” Int. J. Electr. Comput. Eng., pp. 31–41, 2018.
Refbacks
- There are currently no refbacks.