Pl. Rosin et Gaw. West, CURVE SEGMENTATION AND REPRESENTATION BY SUPERELLIPSES, IEE proceedings. Vision, image and signal processing, 142(5), 1995, pp. 280-288
A method of segmenting curves into series of superelliptical arcs is p
resented. A superellipse is the 2-dimensional form of the superquadrat
ic and can describe circles, ellipses, crosses, parallelograms and rou
nded rectangles with the same number of parameters. The superellipses
are fitted using Powell's technique to minimise an appropriate error m
etric. A tree is used to represent a number of interpretations and the
concept of significance used to choose the most perceptually correct
description. Results show that perceptually good features are chosen t
o represent the various shapes that occur in images.