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An optimal B-spline approach for vectorizing raster image outlines

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  • Samreen Abbas
  • Malik Zawwar Hussain
  • Qurat ul-Ain

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.

Suggested Citation

  • Samreen Abbas & Malik Zawwar Hussain & Qurat ul-Ain, 2024. "An optimal B-spline approach for vectorizing raster image outlines," PLOS ONE, Public Library of Science, vol. 19(8), pages 1-17, August.
    • Handle: RePEc:plo:pone00:0307530
    DOI: 10.1371/journal.pone.0307530
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    References listed on IDEAS

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    1. Khalid, Sobia & Hussain, Malik Zawwar & Sarfraz, Muhammad, 2016. "Outline capturing using rational functions with the help of genetic algorithmAuthor-Name: Irshad, Misbah," Applied Mathematics and Computation, Elsevier, vol. 274(C), pages 661-678.
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