Specifications

provides a new solution for the structure distortion. How is this structure fusion performed? To
answer the question, in this letter, the multi-feature of a contour is defined. Second, the structure
of each feature is measured by similarity. Then, the fusion structure is obtained using the
algebraic operation of the respective structure, the specific form of which is deduced based on
locality-preserving projection (LPP). Finally, the combined feature is mapped into the new
structure-fusion feature in terms of the fusion structure. The experiment demonstrates that this
structure fusion method is superior to other state-of-the-art methods that address geometrical
transformations and nonlinear distortion for classification in Kimia or MPEG-7 datasets. © 2013
Published by Elsevier B.V. All rights reserved.
Number of references: 19
Main heading: Classification (of information)
Controlled terms: Distortion (waves) - Motion Picture Experts Group standards -
Nonlinear distortion
Uncontrolled terms: Algebraic operations - Geometrical transformation - Multi features
- Shape classification - Shape contours - State-of-the-art methods - Structure
distortions - Unsupervised shape
Classification code: 716.1 Information Theory and Signal Processing - 723.2 Data Processing
and Image Processing
DOI: 10.1016/j.patrec.2013.04.011
Database: Compendex
Compilation and indexing terms, © 2013 Elsevier Inc.
4.
Accession number: 20132216378692
Title: Recognition of cyclostationary signals smoothed
Authors: Liu, Gaohui1 ; Zhang, Zhiping1 ; Yang, Yuan1/刘高辉;张志平;杨媛
Author affiliation: 1 School of Automation and Information, Xi'an University of Technology,
Xi'an, China
Source title: Proceedings of the 2012 National Conference on Information Technology and
Computer Science, CITCS 2012
Abbreviated source title: Proc. Natl. Conf. Inf. Technol. Comput. Sci., CITCS
Monograph title: Proceedings of the 2012 National Conference on Information Technology and
Computer Science, CITCS 2012
Issue date: 2012
Publication year: 2012
Pages: 165-169
Language: English
ISBN-13: 9789491216381
Document type: Conference article (CA)
Conference name: 2012 National Conference on Information Technology and Computer Science,
CITCS 2012
Conference date: November 16, 2012 - November 18, 2012
Conference location: Lanzhou, China
Conference code: 97073
Sponsor: Henan University; Yanshan University; Wenzhou University; Jiangsu University of