Cutting affine moment invariants
type: Item
instance of: scholarly article
title: Cutting affine moment invariants
zbMATH Open document ID: 1264.94032
DOI: 10.1155/2012/928161
author: Jianwei Yang
author: Ming Li
author: Zirun Chen
author: Yunjie Chen
published in: Mathematical Problems in Engineering
publication date: 2013-06-11T00:00:00Z
review text: Summary: The extraction of affine invariant features plays an important role in many fields of image processing. In this paper, the original image is transformed into new images to extract more affine invariant features. To construct new images, the original image is cut in two areas by a closed curve, which is called general contour (GC). GC is obtained by performing projections along lines with different polar angles. New image is obtained by changing gray value of pixels in inside area. The traditional affine moment invariants (AMIs) method is applied to the new image. Consequently, cutting affine moment invariants (CAMIs) are derived. Several experiments have been conducted to evaluate the proposed method. Experimental results show that CAMIs can be used in object classification tasks.
Mathematics Subject Classification ID: 94A08
zbMATH DE Number: 6173697
Wikidata QID: Q58912689
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2012/928161
OpenAlex ID: W2095480037
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: Synthesized affine invariant function for 2D shape recognition
cites work: Affine curvature scale space with affine length parametrisation
cites work: Q3284993
cites work: Image registration and object recognition using affine invariants and convex hulls
cites work: Robust affine invariant descriptors
cites work: New method for feature extraction based on fractal behavior
cites work: Feature extraction using wavelet and fractal
description: scientific article; zbMATH DE number 6173697