Differential evolution (DE) is used for curve fitting by cubic Ball curves. DE is evolutionary algorithm that encodes solutions as vectors and applies some operations and exchange of components to generate new solutions from the existing ones. In this paper, the DE optimize the two control points in cubic Ball interpolant. In order to obtain the segment or data points, the boundary data of the images should be extracted and detected the corners. Hence, the images reconstruction conducted from the cubic Ball curve and approximated the original image. Some results and numerical examples illustrated in this study.
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