Title :
Image Segmentation Based on 2-D Fisher and Chaos Particle Swarm Optimization Algorithm
Author :
Ye Zhiwei ; Hu Zhengbing ; Zhou Xin ; Xia Bin
Author_Institution :
Sch. of Comput. Sci., Hubei Univ. of Technol., Wuhan, China
Abstract :
Aimed at solving the deficiencies of having great computation and local optimum, a chaos particle swarm optimization algorithm which has the properties of ergodicity, randomicity and regularity is proposed to solve the optimization problems cited from pattern recognition, and a new method of image segmentation using two-dimensional histogram based on Fisher criterion function is put forward. According to the experiment, it verifies that the method of chaos particle swarm optimization can improve the efficiency and accuracy of 2-D Fisher method based on traditional PSO.
Keywords :
chaos; image segmentation; particle swarm optimisation; pattern recognition; 2D Fisher method; Fisher criterion function; chaos particle swarm optimization; ergodicity; image segmentation; pattern recognition; randomicity; regularity; two-dimensional histogram; Chaos; Computer science; Histograms; Image segmentation; Information technology; Optimization methods; Particle swarm optimization; Pattern recognition; Pixel; Two dimensional displays;
Conference_Titel :
Information Engineering and Electronic Commerce (IEEC), 2010 2nd International Symposium on
Conference_Location :
Ternopil
Print_ISBN :
978-1-4244-6972-7
Electronic_ISBN :
978-1-4244-6974-1
DOI :
10.1109/IEEC.2010.5533232
