Polygonal approximation (PA) is a challenging problem in representation of images in
computer vision, pattern recognition and image analysis. This paper proposes a stochastic …

In this paper we consider a problem of the polygonal approximation of digital curves with a
minimum number of approximation segments for a given error bound with L2-norm. The …

In this work, a new proposal to improve some methods based on the merge approach to
obtain polygonal approximations in 2D contours is presented. These methods use a set of …

Abstract Representation of image content is an important part of image annotation and
retrieval, and it has become a hot issue in computer vision. As an efficient and accurate …

Polygonal approximation is an effective yet challenging digital curve representation for
image analysis, pattern recognition and computer vision. This paper proposes a novel …

This paper proposes to apply coarse-grained parallel genetic algorithm (CGPGA) to solve
polygonal approximation problem. Chromosomes are used to represent digital curves and …

We face the problem of obtaining the optimal polygonal approximation of a digital planar
curve. Given an ordered set of points on the Euclidean plane, an efficient method to obtain a …

Polygon approximation is a digital curve method lead to create piecewise of linear segments
for digital curve. The automated determination of optimal tolerance value for a shape is a …

Vector data compression algorithm can meet requirements of different levels and scales by
reducing the data amount of vector graphics, so as to reduce the transmission, processing …

Polygonal approximation (PA) techniques have been widely applied in the field of pattern
recognition, classification, shape analysis, identification, 3D reconstruction, medical …