Vectorizing outlines of generic shapes by cubic spline using simulated annealing

DOI10.1080/00207160802452519zbMath1195.65084OpenAlexW2130196195MaRDI QIDQ5747716

Muhammad Sarfraz

Publication date: 14 September 2010

Published in: International Journal of Computer Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207160802452519

zbMATH Keywords

simulated annealingcurve fittingcubic splineknot insertiongeneric shapes

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10)

Related Items (4)

Silhouette vectorization by affine scale-space ⋮ Capturing outlines of generic shapes with cubic B´ezier curves using the Nelder–Mead simplex method ⋮ Positivity-preserving scattered data interpolation scheme using the side-vertex method ⋮ Outline capturing using rational functions with the help of genetic algorithm

Cites Work

• Optimization by Simulated Annealing
• Planar point set fairing and fitting by arc splines
• Curve fitting and fairing using conic splines
• Capturing planar shapes by approximating their outlines
• Global optimization by multilevel coordinate search
• A new algorithm for dominant points detection and polygonization of digital curves.
• Least-squares fitting of algebraic spline surfaces
• Extraction of dominant points by estimation of the contour fluctuations
• A new approach to edge detection
• A new subdivision based approach for piecewise smooth approximation of 3D polygonal curves
• Optimal curve fitting and smoothing using normalized uniform B-splines: a tool for studying complex systems

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