DocumentCode
3272716
Title
Image Segmentation Algorithm Based on Quantum Immune Programming
Author
Bi, Xiaojun ; Jin, Guifang
Author_Institution
Harbin Eng. Univ., Harbin
fYear
2007
fDate
20-24 March 2007
Firstpage
403
Lastpage
407
Abstract
A quantum immune programming is presented by combining quantum theory with the clonal selection and immune mechanism in artificial immune system. Based on the thresholding image segmentation principle, the quantum immune programming is applied in the optimization of threshold value of grey image segmentation. The simulation of testing image segmentation proves its superiority.
Keywords
artificial immune systems; image colour analysis; image segmentation; mathematical programming; quantum computing; artificial immune system; clonal selection; grey image segmentation; image thresholding; quantum immune programming; quantum theory; threshold value optimization; Artificial immune systems; Competitive intelligence; Convergence; Educational institutions; Image segmentation; Immune system; Parallel processing; Physics; Quantum computing; Quantum mechanics; image segmentation; immune programming; quantum algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Integration Technology, 2007. ICIT '07. IEEE International Conference on
Conference_Location
Shenzhen
Print_ISBN
1-4244-1092-4
Electronic_ISBN
1-4244-1092-4
Type
conf
DOI
10.1109/ICITECHNOLOGY.2007.4290506
Filename
4290506
Link To Document