Extraction of affine invariant features using fractal
type: Item
instance of: scholarly article
title: Extraction of affine invariant features using fractal
zbMATH Open document ID: 1272.68350
DOI: 10.1155/2013/950289
author: Jianwei Yang
author: Guo Sheng Cheng
author: Ming Li
published in: Advances in Mathematical Physics
publication date: 2013-06-07T00:00:00Z
review text: Summary: An approach based on fractals is presented for extracting affine invariant features. The central projection transformation is employed to reduce the dimensionality of the original input pattern, and a general contour (GC) of the pattern is derived. Affine invariant features cannot be extracted from GC directly due to shearing. To address this problem, a group of curves (which are called shift curves) are constructed from the obtained GC. Fractal dimensions of these curves can readily be computed and constitute a new feature vector for the original pattern. The derived feature vector is used in question for pattern recognition. Several experiments have been conducted to evaluate the performance of the proposed method. Experimental results show that the proposed method can be used for object classification.
Mathematics Subject Classification ID: 68T10
Mathematics Subject Classification ID: 94A08
Mathematics Subject Classification ID: 28A80
zbMATH DE Number: 6171651
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2013/950289
OpenAlex ID: W1969495171
Wikidata QID: Q58918907
cites work: Robust symbolic representation for shape recognition and retrieval
cites work: Affine invariants for object recognition using the wavelet transform
cites work: Radon Representation-Based Feature Descriptor for Texture Classification
cites work: Image Registration Using Adaptive Polar Transform
cites work: A subspace approach for matching 2D shapes under affine distortions
cites work: New method for feature extraction based on fractal behavior
cites work: Q4740120
cites work: Q3102326
cites work: Q4431283
cites work: Q3998464
description: scientific article; zbMATH DE number 6171651