Nurshazneem Roslan
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Nurshazneem Roslan
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Nurshazneem, Roslan
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Roslan, Nurshazneem
Roslan, N.
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Scopus Author ID
57204426200
Researcher ID
HKF-0060-2023

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  • Publication
    Artificial bee colony for curve reconstruction using quartic bézier
    (Little Lion Scientific, 2022-03-31)
    Nur' Afifah Rusdi
    ;
    Zainor Ridzuan Yahya
    ;
    Wan Zuki Azman Wan Muhamad
    ;
    Nurshazneem Roslan
    This work presents the use of Artificial Bee Colony Algorithm (ABC) for curve reconstruction using Quartic Bézier. Quartic Bézier curve is rarely used by the researchers in the application of medical images. Therefore, by increasing the degree of the Bézier curve, a better curve with small error can be obtain. The process of curve reconstruction involved was boundary and corner point detection of the medical image, parameterization and curve reconstruction by using ABC. By applying these processes, the fitted Quartic Bézier is obtained. The Sum Square Error (SSE) is used to record the error between the fitted Quartic Bézier curve with the original image. The results of SSE is recorded after the process is repeated 10 times with the average error of 3.4463e03 . Because the final output of the fitted curve resembles the original image, the suggested method can be considered as an option method for curve reconstruction applications. ABC algorithm is an interesting algorithm that can be explored in more detail and can be applied in various problems.
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