Cutting Affine Moment Invariants
Joint Authors
Li, Ming
Chen, Yunjie
Yang, Jianwei
Chen, Zirun
Source
Mathematical Problems in Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-04-09
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Yang, Jianwei& Li, Ming& Chen, Zirun& Chen, Yunjie. 2012. Cutting Affine Moment Invariants. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-1029849
Modern Language Association (MLA)
Yang, Jianwei…[et al.]. Cutting Affine Moment Invariants. Mathematical Problems in Engineering No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-1029849
American Medical Association (AMA)
Yang, Jianwei& Li, Ming& Chen, Zirun& Chen, Yunjie. Cutting Affine Moment Invariants. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-1029849
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1029849