Comparison of Rapid Extraction Algorithms of Major Colors

Qi Jia; Xu Liang Lü; Wei Dong Xu; Jiang Hua Hu; Xian Hui Rong

doi:10.4028/www.scientific.net/AMM.441.687

Paper Titles

Interference Image Edge Detection Based on Wavelet Packet for Laser Interferometer Hydrophone
p.670

A Non-Uniform Regional Partition Coding of One Dimension Signal and its Application
p.674

An Extended Knapsack Public Key Cryptosystem
p.678

Boundary Detection for Non-Ideal Iris Based on Gray Transform
p.682

Comparison of Rapid Extraction Algorithms of Major Colors
p.687

Efficient Indexing RDF Query Algorithm for Big Data
p.691

Method for CCD Edge Signal Processing
p.695

Recent Advances in High Dynamic Range Imaging
p.699

Personal Identification Using Finger-Knuckle-Print Based on Local Binary Pattern
p.703

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 441Comparison of Rapid Extraction Algorithms of Major...

Comparison of Rapid Extraction Algorithms of Major Colors

Abstract:

The extraction of major colors is the basis of image processing. In the process of camouflage pattern painting design, whether major colors are extracted rapidly and precisely are very important to the application. Histogram clustering and K-means clustering and ISODATA clustering are three widely using extraction algorithms. To test and compare the accuracy of the three algorithms, the definition of average color difference is introduced. Then, two representative forest land background images are used to compare the performance of three algorithms. The result shows that, ISODATA clustering algorithm is superior to other two kind of clustering algorithms.

You might also be interested in these eBooks

Machinery Electronics and Control Engineering III

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 441)

Pages:

687-690

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.441.687

Citation:

Cite this paper

Online since:

December 2013

Authors:

Qi Jia, Xu Liang Lü, Wei Dong Xu, Jiang Hua Hu, Xian Hui Rong

Keywords:

Comparison, Extraction Algorithm, Major Color, Pattern Design

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Y. Xu: Opto-Electronic Engineering, Vol. 34 (2007), p.100.

Google Scholar

[2] Y. Zhang, W. J. Wu, Zh. M. Liu: Computer Engineering and Application, Vol. 45 (2009), p.210.

Google Scholar

[3] Y. Yu, Ch. Miao, Sh. H. Tian: Journal of Applied Sciences, Vol. 27 (2009), p.475.

Google Scholar

[4] Ch. Miao, Sh. H. Tian, Y. Yu: Computer Application and Software, Vol. 26 (2009), p.218.

Google Scholar

[5] J. F. Qin, J. H. Hu, G. F. Yang: Journal of PLA University of Science and Technology (Natural Science Edition), Vol. 12 (2011), p.75.

Google Scholar

[6] Y. G. Shen, X. Q. Huo, X. Q. Li: Construction Machinery and Equipment, (2006), p.29.

Google Scholar

[7] R. H. Su, Y. H. Chen, H. Sh. Gao, W. Wu, J. J. Wang, W. Lin: Electro-Optic Technology Application, Vol. 23 (2008), p.49.

Google Scholar

[8] Z. Y. Liu, Z. R. Wang, J. Ch. Wang, X. Q. Sun: Laser & Infrared, Vol. 39 (2009), p.793.

Google Scholar

[9] Y. J. Wang, X. L. Lv, L. Li, J. L. Xu: Journal of PLA University of Science and Technology (Natural Science Edition), Vol. 10 (2009), p.80.

Google Scholar

[10] Y. Zhang: National University of Defense Technology, Changsha, China (2009).

Google Scholar

[11] X. L. Lv, W. Lin, W. D. Xu, Y. L. Pan, W. Y. Sun: Acta Armamentarii, Vol. 26 (2005), p.681.

Google Scholar

[12] M. R. Luo: SPIE, Vol. 4421 (2002), p.554.

Google Scholar