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  1. Home
  2. Browse by Author

Browsing by Author "Aibinu, Musa A."

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    Retina fundus image mask generation using pseudo parametric modeling technique
    (IIUM Engineering Journal, 2010-11) Aibinu, Musa A.; Salami, Momoh-Jimoh E.; Shafie, A. A.
    ABSTRACT (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 Number (CCN) and Artificial Neural Network (ANN) technique 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
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    Two level Differential Evolution algorithms for ARMA parameters estimation
    (IEEE, 2013-06-19) Salami, Momoh-Jimoh E.; Tijani, Ismaila B.; Abdullateef, Ayodele I.; Aibinu, Musa A.
    The problem of determining simultaneously the model order and coefficient of an Autoregressive Moving Average (ARMA) model is examined in this paper. An Evolutionary Algorithm (EA) comprising two-level Differential Evolution (DE) optimization scheme is proposed. The first level searches for the appropriate model order while the second level computes the optimal/sub-optimal corresponding parameters. The performance of the algorithm is evaluated using both simulated ARMA models and practical rotary motion system. The results of both examples show the effectiveness of the proposed algorithm over a well known conventional technique.

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