# An optimal B-spline approach for vectorizing raster image outlines

## TL;DR

This paper introduces a new algorithm using trigonometric B-splines and genetic algorithms to automatically vectorize outlines in digital images.

## Contribution

The novelty lies in combining trigonometric B-splines with a genetic algorithm for optimal outline vectorization.

## Key findings

- The proposed algorithm successfully vectorizes outlines in digital images.
- Genetic algorithms effectively optimize B-spline parameters for accurate curve fitting.

## 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.