An optimal B-spline approach for vectorizing raster image outlines

PLoS One. 2024 Aug 26;19(8):e0307530. doi: 10.1371/journal.pone.0307530. eCollection 2024.

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.

MeSH terms

  • Algorithms*
  • Image Processing, Computer-Assisted / methods

Grants and funding

The author(s) received no specific funding for this work.