Scale-free network model for template matching based on kernel histogram

A novel method to build a scale-free network model for template matching is proposed. The scale-free network model of the template is produced by a kernel histogram. Moreover, those special points that have much larger effects than other points can be selected by a matching algorithm. Based on the s...

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Bibliographic Details
Published in:Electronics letters 2014-04, Vol.50 (9), p.669-671
Main Authors: Han, Ri-Sheng, Shen, Shi-Gen, Yue, Guang-Xue, Ding, Hui
Format: Article
Language:English
Subjects:
Algorithms
Applied sciences
Artificial intelligence
Clutter
clutter background
complex networks
Computer science
control theory
systems
computer vision
Construction
Exact sciences and technology
Histograms
Image and vision processing and display technology
image matching
kernel histogram
Kernels
Matching
matching algorithm
Networks
Pattern recognition. Digital image processing. Computational geometry
scale‐free complex network
scale‐free network model
Template matching
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Description
Summary:A novel method to build a scale-free network model for template matching is proposed. The scale-free network model of the template is produced by a kernel histogram. Moreover, those special points that have much larger effects than other points can be selected by a matching algorithm. Based on the scale-free network model, the matching is implemented by minimising the sum of absolute differences. The proposed algorithm can match the potential object of varying scale in a clutter background. To the best of the authors' knowledge, this is the first template matching algorithm which uses the scale-free complex network to model template matching.
ISSN:0013-5194
1350-911X
1350-911X
DOI:10.1049/el.2014.0301