Contour simplification using a multi-scale local phase analysis

Authors:
F. J. Madrid-Cuevas;A. Carmona-Poyato;R. Medina-Carnicer;R. Muñoz-Salinas
Affiliations:
Dpto. de Informática y Análisis Numérico, Universidad de Córdoba, Campus de Rabanales, s/n, 14071 Córdoba, Spain;Dpto. de Informática y Análisis Numérico, Universidad de Córdoba, Campus de Rabanales, s/n, 14071 Córdoba, Spain;Dpto. de Informática y Análisis Numérico, Universidad de Córdoba, Campus de Rabanales, s/n, 14071 Córdoba, Spain;Dpto. de Informática y Análisis Numérico, Universidad de Córdoba, Campus de Rabanales, s/n, 14071 Córdoba, Spain
Venue:
Image and Vision Computing
Year:
2008

Citing 24
Cited 0

Three-dimensional object recognition from single two-dimensional images

Artificial Intelligence
Feature detection from local energy

Pattern Recognition Letters
On the Detection of Dominant Points on Digital Curves

IEEE Transactions on Pattern Analysis and Machine Intelligence
A Theory of Multiscale, Curvature-Based Shape Representation for Planar Curves

IEEE Transactions on Pattern Analysis and Machine Intelligence
Detection of significant points and polygonal approximation of digitized curves

Pattern Recognition Letters
Contour shape description based on an arch height function

Pattern Recognition
Detecting the dominant points by the curvature-based polygonal approximation

CVGIP: Graphical Models and Image Processing
Optimum polygonal approximation of digitized curves

Pattern Recognition Letters
Another look at the dominant point detection of digital curves

Pattern Recognition Letters
Effective classification of planar shapes based on curve segment properties

Pattern Recognition Letters
Techniques for Assessing Polygonal Approximations of Curves

IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape characterization with the wavelet transform

Signal Processing
2D object recognition based on curvature functions obtained from local histograms of the contour chain code

Pattern Recognition Letters
Planar shape recognition by directional flow-change method

Pattern Recognition Letters
Strip trees: a hierarchical representation for curves

Communications of the ACM
Shape Analysis and Classification: Theory and Practice

Shape Analysis and Classification: Theory and Practice
Silhouette-Based Isolated Object Recognition through Curvature Scale Space

IEEE Transactions on Pattern Analysis and Machine Intelligence
On Critical Point Detection of Digital Shapes

IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiscale contour corner detection based on local natural scale and wavelet transform

Image and Vision Computing
Angle Detection on Digital Curves

IEEE Transactions on Computers
Dominant point detection: A new proposal

Image and Vision Computing
Analysis of the Precision of Generalized Chain Codes for the Representation of Planar Curves

IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiscale corner detection by using wavelet transform

IEEE Transactions on Image Processing
Invariant matching and identification of curves using B-splines curve representation

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposes a new method for simplifying contours based on the multi-scale analysis of the local phase. The main advantages of the proposed method are: (i) it does not use any curvature measure approximation to stand out the characteristic points. (ii) The symmetry/asymmetry points can be considered as dominant points of the contour and (iii) it provides a robust approach to suppress the contour noise. The method has been compared with a representative number of other methods using an objective measure of the quality of the generated approximation. The experimental results have shown that the proposed method is superior to those reviewed in our study.