Title :
A new segmentation algorithm with the fisher criterion function
Author :
Xu, Qingzhen ; Kong, Jing
Author_Institution :
Sch. of Comput. Sci., South China Normal Univ., Guangzhou, China
Abstract :
This paper introduced the image segmentation algorithm based on the Fisher criterion function and developed genetic algorithm. We carry out the simulation experiment on the human body blood cell. The simulation results show that the new algorithm not only segment the image satisfactorily with strong anti-noise ability, but also run efficiently. The developed genetic algorithm can find the global optimum solution rather than the local solution. The algorithm is one kind of practical, effective segmentation algorithm.
Keywords :
blood; cellular biophysics; genetic algorithms; image segmentation; medical image processing; Fisher criterion function; antinoise ability; genetic algorithm; human body blood cell; image segmentation algorithm; Biological system modeling; Blood; Communication system control; Computational modeling; Computer science; Genetic algorithms; Gray-scale; Humans; Image segmentation; Pixel; Fisher criterion function; Genetic Algorithm; Image segmentation;
Conference_Titel :
Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-4247-8
DOI :
10.1109/CCCM.2009.5267824