Vectorizing Image Outlines using Spline Computing Approaches with Simulated Annealing

نویسنده

  • MUHAMMAD SARFRAZ
چکیده

This paper is an overview of three spline approaches of degree one, two and three. It represents the review and comparative study of Linear, conic and cubic splines for the vectorization of outlines of the planar images. It has various phases including extracting outlines of images, detecting corner points from the detected outlines, and curve fitting. The idea of simulated annealing has been incorporated to optimize the shape parameters in the description of the conic and cubic splines. In addition, a straightforward approach has also been used for linear spline case because of having no degree of freedom. The methods ultimately produce optimal results for the approximate vectorization of the digital contours obtained from the generic shapes. Demonstrations and a comparative study of linear, conic and cubic splines make the essential parts of the paper.

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تاریخ انتشار 2015