Multiscale contour corner detection based on local natural scale and wavelet transform

Authors:
Xinting Gao;Farook Sattar;Azhar Quddus;Ronda Venkateswarlu
Affiliations:
School of Electrical and Electronic Engineering, Nanyang Technological University, Nanyang Avenue, Singapore 639798;School of Electrical and Electronic Engineering, Nanyang Technological University, Nanyang Avenue, Singapore 639798;Electrical and Computer Engineering, University of Waterloo, 200 University Ave. West, Waterloo, ON, Canada N2L3G1;Institute for Infocomm Research, Singapore 119613
Venue:
Image and Vision Computing
Year:
2007

Citing 9
Cited 9

On the Detection of Dominant Points on Digital Curves

IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Based Detection of Corners of Planar Curves

IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimum polygonal approximation of digitized curves

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
Scale-Space Theory in Computer Vision

Scale-Space Theory in Computer Vision
Wavelet-based corner detection technique using optimal scale

Pattern Recognition Letters
Wavelet descriptor of planar curves: theory and applications

IEEE Transactions on Image Processing
Multiscale corner detection by using wavelet transform

IEEE Transactions on Image Processing

Contour simplification using a multi-scale local phase analysis

Image and Vision Computing
A New Algorithm for Dominant Point Detection by Quasi-collinear Break Points Supression

ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Robust image corner detection based on scale evolution difference of planar curves

Pattern Recognition Letters
Application of Kohonen network for automatic point correspondence in 2D medical images

Computers in Biology and Medicine
Polygonal approximation of digital planar curves through break point suppression

Pattern Recognition
Corner detection based on gradient correlation matrices of planar curves

Pattern Recognition
Multimodal genetic algorithms-based algorithm for automatic point correspondence

Pattern Recognition
Constructing a computer model of the human eye based on tissue slice images

Journal of Biomedical Imaging
Multiscale Corner Detection in Planar Shapes

Journal of Mathematical Imaging and Vision

Quantified Score

Hi-index	0.00

Visualization

Abstract

A new corner detection method for contour images is proposed based on dyadic wavelet transform (WT) at local natural scales. The points corresponding to wavelet transform modulus maxima (WTMM) at different scales are taken as corner candidates. For each candidate, the scale at which the maximum value of the normalized WTMM exists is defined as its ''local natural scale'', and the corresponding modulus is taken as its significance measure. This approach achieves more accurate estimation of the natural scale of each candidate than the existing global natural scale based methods. Furthermore, the proposed algorithm is suitable for both long contours and short contours. The simulation and the objective evaluation results reveal better performance of the proposed algorithm compared to the existing methods.