Extraction of Affine Invariant Features Using Fractal
Joint Authors
Li, Ming
Cheng, Guosheng
Yang, Jianwei
Source
Advances in Mathematical Physics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-05-15
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
An approach based on fractal is presented for extracting affine invariant features.
Central projection transformation is employed to reduce the dimensionality of the original input pattern, and 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.
American Psychological Association (APA)
Yang, Jianwei& Cheng, Guosheng& Li, Ming. 2013. Extraction of Affine Invariant Features Using Fractal. Advances in Mathematical Physics،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-510718
Modern Language Association (MLA)
Yang, Jianwei…[et al.]. Extraction of Affine Invariant Features Using Fractal. Advances in Mathematical Physics No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-510718
American Medical Association (AMA)
Yang, Jianwei& Cheng, Guosheng& Li, Ming. Extraction of Affine Invariant Features Using Fractal. Advances in Mathematical Physics. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-510718
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-510718