Title :
Image Segmentation Algorithm Based on Quantum Immune Programming
Author :
Bi, Xiaojun ; Jin, Guifang
Author_Institution :
Harbin Eng. Univ., Harbin
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;
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
DOI :
10.1109/ICITECHNOLOGY.2007.4290506
