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Abstract The use of vascular intersection as one of the symptoms for monitoring and diagnosis of diabetic retinopathy from fundus images have been widely reported in literatures. In this work, a new hybrid approach that makes use of three different methods of vascular intersection detection namely Modified cross-point number (MCN), Combine Cross Points (CNN) and Artificial Neural Network (ANN) is hereby proposed. Result obtained from the application of this technique to both simulated and experimental shows a very high accuracy and precision value in detecting both bifurcation and cross over points. Thus an improvement in bifurcation and vascular point detection and a good tool in the monitoring and diagnosis of diabetic retinopathy. Downloads Download data is not yet available. Metrics Metrics Loading ... Downloads FULL PAPER Published 2010-11-19 How to Cite Aibinu, A. M., SALAMI, M., & SHAFIE, A. (2010). RETINA FUNDUS IMAGE MASK GENERATION USING PSEUDO PARAMETRIC MODELING TECHNIQUE. IIUM Engineering Journal, 11(2), 163–177. https://doi.org/10.31436/iiumej.v11i2.31 More Citation Formats ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver Download Citation Endnote/Zotero/Mendeley (RIS) BibTeX Issue Vol. 11 No. 2 (2010) Section Articles menusidebar ABOUT THE JOURNAL

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