An optimal B-spline approach for vectorizing raster image outlines

Samreen Abbas, Malik Zawwar Hussain and Qurat ul-Ain

PLOS ONE, 2024, vol. 19, issue 8, 1-17

Abstract: Capturing outlines is crucial in vectorization of the digital images. An effective and automatic algorithm is presented for outline vectorizing of planar objects within the digital images using trigonometric B-spline. A soft computing optimization technique Genetic Algorithm (GA) is employed to determine the suitable measures of parameter in the description of proposed B-spline. The anticipated scheme is executed on a few raster (bitmap), digital images to validate the robustness of the algorithm. The procedure of vectorizing outlines encompasses a series of stages like boundary detection, corner recognition, break point identification and curve fitting using the proposed B-spline.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0307530

DOI: 10.1371/journal.pone.0307530

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