Wavelet Decomposition Methodology for Improved Retinal Blood Vessel Segmentation
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-5157-1_29
Reference21 articles.
1. Mallat, S. G. (1989). A theory for multiresolution signal decomposition: The wavelet representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 11(7), 674–693.
2. Lee, D. T. L., & Yamamoto, A. (1994). Wavelet analysis: Theory and applications. Hewlett-Packard Journal, 44–52.
3. Zhuang, Y., & Baras, J. S. (1994). Optimal wavelet basis selection for signal representation. SPIE Defense, Security, and Sensing, 2242(301), Wavelet Applications, 200–211.
4. Dikkala, U., Joseph, M. K., & Alagirisamy, M. (2021). A comprehensive analysis of morphological process dependent retinal blood vessel segmentation. In International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), pp. 510–516.
5. Srinidhi, C. L., Aparna, P., & Rajan, J. (2017). Recent advancements in retinal vessel segmentation. Journal of Medical Systems, 41(4), 70.
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