Active contours with local and global energy based-on fuzzy clustering and maximum a posterior probability for retinal vessel detection

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Wang, X, Jiang, Z, Li, W, Zarei, R, Huang, G, Ulhaq, Anwaar ORCID: 0000-0002-5145-7276, Yin, Xiaoxia, Zhang, B, Shi, Peng ORCID: 0000-0001-8218-586X, Guo, M and He, J (2020) Active contours with local and global energy based-on fuzzy clustering and maximum a posterior probability for retinal vessel detection. Concurrency and Computation: Practice and Experience, 32 (7). ISSN 1532-0626

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/40304
DOI https://doi.org/10.1002/cpe.5599
Official URL https://onlinelibrary.wiley.com/doi/abs/10.1002/cp...
Subjects Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing
Current > Division/Research > College of Science and Engineering
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
Keywords vessel segmentation; Fuzzy c-means; Piecewise constant model; Local binary fitting model; Local Gaussian fuzzy energy; Maximum a posterior probability; images; retinal angiograms; global fuzzy energy
Citations in Scopus 3 - View on Scopus
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