Title :
An improved genetic algorithm of solving IFS code of fractal image
Author :
Xuan, Yang ; Dequn, Liang
Author_Institution :
Inst. of Electron. & Inf. Eng., Xi´´an Jiaotong Univ., China
Abstract :
The IFS code is an important characteristic of fractal image in the iterative function system. A new method (GAIFS) based on genetic algorithm to obtain the IFS code of the fractal image is developed, the influence of mutation and crossover probability on the process is discussed also. The traditional genetic algorithm and convergence powers are improved. Several processing methods preventing this algorithm from converging into local optimum are proposed. Finally, experimental results are provided to demonstrate the good performance of the developed method
Keywords :
convergence of numerical methods; fractals; genetic algorithms; image coding; iterative methods; probability; GAIFS; IFS code; convergence; crossover probability; experimental results; fractal image; genetic algorithm; iterative function system; local optimum; mutation; performance; processing methods; Binary codes; Bismuth; Convergence; Fractals; Genetic algorithms; Genetic mutations; Image coding; Image converters; Image segmentation; Optimization methods;
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
DOI :
10.1109/ICSIGP.1996.566586
