Comparative Analysis of Curve Reconstruction using Fuzzy C Means and Subtractive Clustering

Interpolation and curve fitting are the basic problems in the fields of computer graphics, image processing, and mathematical modeling of curves and surfaces. Another consideration problem in the field of reverse engineering is the reconstructing of a curve or a surface of geometric models from a point set. Curve fitting is helpful for surface reconstruction. Curve fitting can be described as computing the function g, given a set of input data sample points and to generate outputs corresponding to the inputs which is not specified earlier. There are various curve reconstruction techniques available and having their own advantages and disadvantages. In this paper, we try to find and simulate these techniques by making comparisons between some curve reconstruction techniques using clustering.