A Novel BA Complex Network Model on Color Template Matching
Joint Authors
Yue, G.
Han, Risheng
Ding, Hui
Shen, Shigen
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-19
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
A novel BA complex network model of color space is proposed based on two fundamental rules of BA scale-free network model: growth and preferential attachment.
The scale-free characteristic of color space is discovered by analyzing evolving process of template’s color distribution.
And then the template’s BA complex network model can be used to select important color pixels which have much larger effects than other color pixels in matching process.
The proposed BA complex network model of color space can be easily integrated into many traditional template matching algorithms, such as SSD based matching and SAD based matching.
Experiments show the performance of color template matching results can be improved based on the proposed algorithm.
To the best of our knowledge, this is the first study about how to model the color space of images using a proper complex network model and apply the complex network model to template matching.
American Psychological Association (APA)
Han, Risheng& Shen, Shigen& Yue, G.& Ding, Hui. 2014. A Novel BA Complex Network Model on Color Template Matching. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1051597
Modern Language Association (MLA)
Han, Risheng…[et al.]. A Novel BA Complex Network Model on Color Template Matching. The Scientific World Journal No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1051597
American Medical Association (AMA)
Han, Risheng& Shen, Shigen& Yue, G.& Ding, Hui. A Novel BA Complex Network Model on Color Template Matching. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1051597
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051597